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5 Commits

Author SHA1 Message Date
5ce4d5f552 Fix result logic 2024-04-11 18:54:03 +02:00
9cef8ec087 add prompt and context 2024-04-10 09:43:33 +02:00
f505fa4ae8 Add recommendation route 2024-04-09 12:30:24 +02:00
b4deb9b8db filtered_universe accepts index and txn instead of SearchContext 2024-04-09 12:03:03 +02:00
7476ad6599 Add error codes 2024-04-09 12:02:07 +02:00
229 changed files with 3497 additions and 17272 deletions

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@ -18,9 +18,11 @@ jobs:
timeout-minutes: 180 # 3h
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- name: Run benchmarks - workload ${WORKLOAD_NAME} - branch ${{ github.ref }} - commit ${{ github.sha }}
run: |

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@ -35,17 +35,12 @@ jobs:
fetch-depth: 0 # fetch full history to be able to get main commit sha
ref: ${{ steps.comment-branch.outputs.head_ref }}
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- name: Run benchmarks on PR ${{ github.event.issue.id }}
run: |
cargo xtask bench --api-key "${{ secrets.BENCHMARK_API_KEY }}" \
--dashboard-url "${{ vars.BENCHMARK_DASHBOARD_URL }}" \
--reason "[Comment](${{ github.event.comment.html_url }}) on [#${{ github.event.issue.number }}](${{ github.event.issue.html_url }})" \
-- ${{ steps.command.outputs.command-arguments }} > benchlinks.txt
- name: Send comment in PR
run: |
gh pr comment ${{github.event.issue.number}} --body-file benchlinks.txt
cargo xtask bench --api-key "${{ secrets.BENCHMARK_API_KEY }}" --dashboard-url "${{ vars.BENCHMARK_DASHBOARD_URL }}" --reason "[Comment](${{ github.event.comment.html_url }}) on [#${{ github.event.issue.number }}](${{ github.event.issue.html_url }})" -- ${{ steps.command.outputs.command-arguments }}

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@ -12,9 +12,11 @@ jobs:
timeout-minutes: 180 # 3h
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Run benchmarks
- name: Run benchmarks - Dataset ${BENCH_NAME} - Branch main - Commit ${{ github.sha }}

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@ -18,9 +18,11 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Set variables
- name: Set current branch name

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@ -13,9 +13,11 @@ jobs:
runs-on: benchmarks
timeout-minutes: 4320 # 72h
steps:
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- name: Check for Command
id: command

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@ -16,9 +16,11 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Set variables
- name: Set current branch name

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@ -15,9 +15,11 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Set variables
- name: Set current branch name

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@ -15,9 +15,11 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Set variables
- name: Set current branch name

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@ -15,9 +15,11 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Set variables
- name: Set current branch name

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@ -1,6 +1,4 @@
name: Look for flaky tests
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
on:
workflow_dispatch:
schedule:
@ -18,7 +16,10 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Install cargo-flaky
run: cargo install cargo-flaky
- name: Run cargo flaky in the dumps

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@ -1,6 +1,5 @@
name: Run the indexing fuzzer
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
on:
push:
branches:
@ -13,9 +12,11 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
# Run benchmarks
- name: Run the fuzzer

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@ -15,8 +15,6 @@ jobs:
debian:
name: Publish debian packagge
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
runs-on: ubuntu-latest
needs: check-version
container:
@ -27,7 +25,10 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Install cargo-deb
run: cargo install cargo-deb
- uses: actions/checkout@v3

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@ -35,8 +35,6 @@ jobs:
publish-linux:
name: Publish binary for Linux
runs-on: ubuntu-latest
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
needs: check-version
container:
# Use ubuntu-18.04 to compile with glibc 2.27
@ -47,7 +45,10 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Build
run: cargo build --release --locked
# No need to upload binaries for dry run (cron)
@ -77,7 +78,10 @@ jobs:
asset_name: meilisearch-windows-amd64.exe
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Build
run: cargo build --release --locked
# No need to upload binaries for dry run (cron)
@ -103,10 +107,12 @@ jobs:
- name: Checkout repository
uses: actions/checkout@v3
- name: Installing Rust toolchain
uses: helix-editor/rust-toolchain@v1
uses: actions-rs/toolchain@v1
with:
toolchain: stable
profile: minimal
target: ${{ matrix.target }}
override: true
- name: Cargo build
uses: actions-rs/cargo@v1
with:
@ -126,8 +132,6 @@ jobs:
name: Publish binary for aarch64
runs-on: ubuntu-latest
needs: check-version
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
container:
# Use ubuntu-18.04 to compile with glibc 2.27
image: ubuntu:18.04
@ -150,10 +154,12 @@ jobs:
add-apt-repository "deb [arch=$(dpkg --print-architecture)] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
apt-get update -y && apt-get install -y docker-ce
- name: Installing Rust toolchain
uses: helix-editor/rust-toolchain@v1
uses: actions-rs/toolchain@v1
with:
toolchain: stable
profile: minimal
target: ${{ matrix.target }}
override: true
- name: Configure target aarch64 GNU
## Environment variable is not passed using env:
## LD gold won't work with MUSL

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@ -80,11 +80,10 @@ jobs:
type=ref,event=tag
type=raw,value=nightly,enable=${{ github.event_name != 'push' }}
type=semver,pattern=v{{major}}.{{minor}},enable=${{ steps.check-tag-format.outputs.stable == 'true' }}
type=semver,pattern=v{{major}},enable=${{ steps.check-tag-format.outputs.stable == 'true' }}
type=raw,value=latest,enable=${{ steps.check-tag-format.outputs.stable == 'true' && steps.check-tag-format.outputs.latest == 'true' }}
- name: Build and push
uses: docker/build-push-action@v6
uses: docker/build-push-action@v5
with:
push: true
platforms: linux/amd64,linux/arm64

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@ -21,8 +21,6 @@ jobs:
test-linux:
name: Tests on ubuntu-18.04
runs-on: ubuntu-latest
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
container:
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
image: ubuntu:18.04
@ -33,7 +31,10 @@ jobs:
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- name: Setup test with Rust stable
uses: helix-editor/rust-toolchain@v1
uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
- name: Run cargo check without any default features
@ -58,7 +59,10 @@ jobs:
- uses: actions/checkout@v3
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
with:
@ -73,8 +77,6 @@ jobs:
test-all-features:
name: Tests almost all features
runs-on: ubuntu-latest
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
container:
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
image: ubuntu:18.04
@ -85,7 +87,10 @@ jobs:
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Run cargo build with almost all features
run: |
cargo build --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda)"
@ -95,8 +100,6 @@ jobs:
test-disabled-tokenization:
name: Test disabled tokenization
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
runs-on: ubuntu-latest
container:
image: ubuntu:18.04
@ -107,10 +110,13 @@ jobs:
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Run cargo tree without default features and check lindera is not present
run: |
if cargo tree -f '{p} {f}' -e normal --no-default-features | grep -qz lindera; then
if cargo tree -f '{p} {f}' -e normal --no-default-features | grep -vqz lindera; then
echo "lindera has been found in the sources and it shouldn't"
exit 1
fi
@ -121,8 +127,6 @@ jobs:
# We run tests in debug also, to make sure that the debug_assertions are hit
test-debug:
name: Run tests in debug
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
runs-on: ubuntu-latest
container:
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
@ -133,7 +137,10 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
toolchain: stable
override: true
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
- name: Run tests in debug
@ -147,9 +154,11 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: 1.75.0
override: true
components: clippy
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
@ -164,10 +173,10 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: nightly-2024-06-25
toolchain: nightly
override: true
components: rustfmt
- name: Cache dependencies

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@ -18,9 +18,11 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: helix-editor/rust-toolchain@v1
- uses: actions-rs/toolchain@v1
with:
profile: minimal
toolchain: stable
override: true
- name: Install sd
run: cargo install sd
- name: Update Cargo.toml file

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@ -109,12 +109,6 @@ They are JSON files with the following structure (comments are not actually supp
"run_count": 3,
// List of arguments to add to the Meilisearch command line.
"extra_cli_args": ["--max-indexing-threads=1"],
// An expression that can be parsed as a comma-separated list of targets and levels
// as described in [tracing_subscriber's documentation](https://docs.rs/tracing-subscriber/latest/tracing_subscriber/filter/targets/struct.Targets.html#examples).
// The expression is used to filter the spans that are measured for profiling purposes.
// Optional, defaults to "indexing::=trace" (for indexing workloads), common other values is
// "search::=trace"
"target": "indexing::=trace",
// List of named assets that can be used in the commands.
"assets": {
// name of the asset.
@ -193,8 +187,8 @@ They are JSON files with the following structure (comments are not actually supp
},
// Core of the workload.
// A list of commands to run sequentially.
// Optional: A precommand is a request to the Meilisearch instance that is executed before the profiling runs.
"precommands": [
// A command is a request to the Meilisearch instance that is executed while the profiling runs.
"commands": [
{
// Meilisearch route to call. `http://localhost:7700/` will be prepended.
"route": "indexes/movies/settings",
@ -230,11 +224,8 @@ They are JSON files with the following structure (comments are not actually supp
// - DontWait: run the next command without waiting the response to this one.
// - WaitForResponse: run the next command as soon as the response from the server is received.
// - WaitForTask: run the next command once **all** the Meilisearch tasks created up to now have finished processing.
"synchronous": "WaitForTask"
}
],
// A command is a request to the Meilisearch instance that is executed while the profiling runs.
"commands": [
"synchronous": "DontWait"
},
{
"route": "indexes/movies/documents",
"method": "POST",

772
Cargo.lock generated

File diff suppressed because it is too large Load Diff

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@ -17,12 +17,11 @@ members = [
"benchmarks",
"fuzzers",
"tracing-trace",
"xtask",
"build-info",
"xtask", "build-info",
]
[workspace.package]
version = "1.9.0"
version = "1.8.0"
authors = [
"Quentin de Quelen <quentin@dequelen.me>",
"Clément Renault <clement@meilisearch.com>",

View File

@ -1,6 +1,9 @@
<p align="center">
<a href="https://www.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=logo" target="_blank">
<img src="assets/meilisearch-logo-kawaii.png">
<a href="https://www.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=logo#gh-light-mode-only" target="_blank">
<img src="assets/meilisearch-logo-light.svg?sanitize=true#gh-light-mode-only">
</a>
<a href="https://www.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=logo#gh-dark-mode-only" target="_blank">
<img src="assets/meilisearch-logo-dark.svg?sanitize=true#gh-dark-mode-only">
</a>
</p>
@ -22,7 +25,7 @@
<p align="center">⚡ A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow 🔍</p>
[Meilisearch](https://www.meilisearch.com?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=intro) helps you shape a delightful search experience in a snap, offering features that work out of the box to speed up your workflow.
Meilisearch helps you shape a delightful search experience in a snap, offering features that work out-of-the-box to speed up your workflow.
<p align="center" name="demo">
<a href="https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demo-gif#gh-light-mode-only" target="_blank">
@ -33,18 +36,11 @@
</a>
</p>
## đź–Ą Examples
- [**Movies**](https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=organization) — An application to help you find streaming platforms to watch movies using [hybrid search](https://www.meilisearch.com/solutions/hybrid-search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos).
- [**Ecommerce**](https://ecommerce.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) — Ecommerce website using disjunctive [facets](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos), range and rating filtering, and pagination.
- [**Songs**](https://music.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) — Search through 47 million of songs.
- [**SaaS**](https://saas.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) — Search for contacts, deals, and companies in this [multi-tenant](https://www.meilisearch.com/docs/learn/security/multitenancy_tenant_tokens?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demos) CRM application.
See the list of all our example apps in our [demos repository](https://github.com/meilisearch/demos).
🔥 [**Try it!**](https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=demo-link) 🔥
## ✨ Features
- **Hybrid search:** Combine the best of both [semantic](https://www.meilisearch.com/docs/learn/experimental/vector_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) & full-text search to get the most relevant results
- **Search-as-you-type:** Find & display results in less than 50 milliseconds to provide an intuitive experience
- **Search-as-you-type:** find search results in less than 50 milliseconds
- **[Typo tolerance](https://www.meilisearch.com/docs/learn/configuration/typo_tolerance?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** get relevant matches even when queries contain typos and misspellings
- **[Filtering](https://www.meilisearch.com/docs/learn/fine_tuning_results/filtering?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) and [faceted search](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** enhance your users' search experience with custom filters and build a faceted search interface in a few lines of code
- **[Sorting](https://www.meilisearch.com/docs/learn/fine_tuning_results/sorting?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** sort results based on price, date, or pretty much anything else your users need
@ -59,15 +55,15 @@ See the list of all our example apps in our [demos repository](https://github.co
## đź“– Documentation
You can consult Meilisearch's documentation at [meilisearch.com/docs](https://www.meilisearch.com/docs/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=docs).
You can consult Meilisearch's documentation at [https://www.meilisearch.com/docs](https://www.meilisearch.com/docs/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=docs).
## 🚀 Getting started
For basic instructions on how to set up Meilisearch, add documents to an index, and search for documents, take a look at our [documentation](https://www.meilisearch.com/docs?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=get-started) guide.
For basic instructions on how to set up Meilisearch, add documents to an index, and search for documents, take a look at our [Quick Start](https://www.meilisearch.com/docs/learn/getting_started/quick_start?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=get-started) guide.
## 🌍 Supercharge your Meilisearch experience
## ⚡ Supercharge your Meilisearch experience
Say goodbye to server deployment and manual updates with [Meilisearch Cloud](https://www.meilisearch.com/cloud?utm_campaign=oss&utm_source=github&utm_medium=meilisearch). Additional features include analytics & monitoring in many regions around the world. No credit card is required.
Say goodbye to server deployment and manual updates with [Meilisearch Cloud](https://www.meilisearch.com/cloud?utm_campaign=oss&utm_source=github&utm_medium=meilisearch). No credit card required.
## đź§° SDKs & integration tools
@ -87,15 +83,15 @@ Finally, for more in-depth information, refer to our articles explaining fundame
## 📊 Telemetry
Meilisearch collects **anonymized** user data to help us improve our product. You can [deactivate this](https://www.meilisearch.com/docs/learn/what_is_meilisearch/telemetry?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=telemetry#how-to-disable-data-collection) whenever you want.
Meilisearch collects **anonymized** data from users to help us improve our product. You can [deactivate this](https://www.meilisearch.com/docs/learn/what_is_meilisearch/telemetry?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=telemetry#how-to-disable-data-collection) whenever you want.
To request deletion of collected data, please write to us at [privacy@meilisearch.com](mailto:privacy@meilisearch.com). Remember to include your `Instance UID` in the message, as this helps us quickly find and delete your data.
To request deletion of collected data, please write to us at [privacy@meilisearch.com](mailto:privacy@meilisearch.com). Don't forget to include your `Instance UID` in the message, as this helps us quickly find and delete your data.
If you want to know more about the kind of data we collect and what we use it for, check the [telemetry section](https://www.meilisearch.com/docs/learn/what_is_meilisearch/telemetry?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=telemetry#how-to-disable-data-collection) of our documentation.
## đź“« Get in touch!
Meilisearch is a search engine created by [Meili]([https://www.welcometothejungle.com/en/companies/meilisearch](https://www.meilisearch.com/careers)), a software development company headquartered in France and with team members all over the world. Want to know more about us? [Check out our blog!](https://blog.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=contact)
Meilisearch is a search engine created by [Meili](https://www.welcometothejungle.com/en/companies/meilisearch), a software development company based in France and with team members all over the world. Want to know more about us? [Check out our blog!](https://blog.meilisearch.com/?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=contact)
đź—ž [Subscribe to our newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e) if you don't want to miss any updates! We promise we won't clutter your mailbox: we only send one edition every two months.
@ -109,11 +105,11 @@ Thank you for your support!
## 👩‍💻 Contributing
Meilisearch is, and will always be, open-source! If you want to contribute to the project, please look at [our contribution guidelines](CONTRIBUTING.md).
Meilisearch is, and will always be, open-source! If you want to contribute to the project, please take a look at [our contribution guidelines](CONTRIBUTING.md).
## 📦 Versioning
Meilisearch releases and their associated binaries are available on the project's [releases page](https://github.com/meilisearch/meilisearch/releases).
Meilisearch releases and their associated binaries are available [in this GitHub page](https://github.com/meilisearch/meilisearch/releases).
The binaries are versioned following [SemVer conventions](https://semver.org/). To know more, read our [versioning policy](https://github.com/meilisearch/engine-team/blob/main/resources/versioning-policy.md).

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@ -256,8 +256,8 @@ pub(crate) mod test {
pub fn create_test_settings() -> Settings<Checked> {
let settings = Settings {
displayed_attributes: Setting::Set(vec![S("race"), S("name")]).into(),
searchable_attributes: Setting::Set(vec![S("name"), S("race")]).into(),
displayed_attributes: Setting::Set(vec![S("race"), S("name")]),
searchable_attributes: Setting::Set(vec![S("name"), S("race")]),
filterable_attributes: Setting::Set(btreeset! { S("race"), S("age") }),
sortable_attributes: Setting::Set(btreeset! { S("age") }),
ranking_rules: Setting::NotSet,

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@ -315,8 +315,8 @@ impl From<v5::ResponseError> for v6::ResponseError {
impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
fn from(settings: v5::Settings<T>) -> Self {
v6::Settings {
displayed_attributes: v6::Setting::from(settings.displayed_attributes).into(),
searchable_attributes: v6::Setting::from(settings.searchable_attributes).into(),
displayed_attributes: settings.displayed_attributes.into(),
searchable_attributes: settings.searchable_attributes.into(),
filterable_attributes: settings.filterable_attributes.into(),
sortable_attributes: settings.sortable_attributes.into(),
ranking_rules: {

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@ -197,140 +197,6 @@ pub(crate) mod test {
use super::*;
use crate::reader::v6::RuntimeTogglableFeatures;
#[test]
fn import_dump_v6_with_vectors() {
// dump containing two indexes
//
// "vector", configured with an embedder
// contains:
// - one document with an overriden vector,
// - one document with a natural vector
// - one document with a _vectors map containing one additional embedder name and a natural vector
// - one document with a _vectors map containing one additional embedder name and an overriden vector
//
// "novector", no embedder
// contains:
// - a document without vector
// - a document with a random _vectors field
let dump = File::open("tests/assets/v6-with-vectors.dump").unwrap();
let mut dump = DumpReader::open(dump).unwrap();
// top level infos
insta::assert_display_snapshot!(dump.date().unwrap(), @"2024-05-16 15:51:34.151044 +00:00:00");
insta::assert_debug_snapshot!(dump.instance_uid().unwrap(), @"None");
// tasks
let tasks = dump.tasks().unwrap().collect::<Result<Vec<_>>>().unwrap();
let (tasks, update_files): (Vec<_>, Vec<_>) = tasks.into_iter().unzip();
meili_snap::snapshot_hash!(meili_snap::json_string!(tasks), @"278f63325ef06ca04d01df98d8207b94");
assert_eq!(update_files.len(), 10);
assert!(update_files[0].is_none()); // the dump creation
assert!(update_files[1].is_none());
assert!(update_files[2].is_none());
assert!(update_files[3].is_none());
assert!(update_files[4].is_none());
assert!(update_files[5].is_none());
assert!(update_files[6].is_none());
assert!(update_files[7].is_none());
assert!(update_files[8].is_none());
assert!(update_files[9].is_none());
// indexes
let mut indexes = dump.indexes().unwrap().collect::<Result<Vec<_>>>().unwrap();
// the index are not ordered in any way by default
indexes.sort_by_key(|index| index.metadata().uid.to_string());
let mut vector_index = indexes.pop().unwrap();
let mut novector_index = indexes.pop().unwrap();
assert!(indexes.is_empty());
// vector
insta::assert_json_snapshot!(vector_index.metadata(), @r###"
{
"uid": "vector",
"primaryKey": "id",
"createdAt": "2024-05-16T15:33:17.240962Z",
"updatedAt": "2024-05-16T15:40:55.723052Z"
}
"###);
{
let documents: Result<Vec<_>> = vector_index.documents().unwrap().collect();
let mut documents = documents.unwrap();
assert_eq!(documents.len(), 4);
documents.sort_by_key(|doc| doc.get("id").unwrap().to_string());
{
let document = documents.pop().unwrap();
insta::assert_json_snapshot!(document);
}
{
let document = documents.pop().unwrap();
insta::assert_json_snapshot!(document);
}
{
let document = documents.pop().unwrap();
insta::assert_json_snapshot!(document);
}
{
let document = documents.pop().unwrap();
insta::assert_json_snapshot!(document);
}
}
// novector
insta::assert_json_snapshot!(novector_index.metadata(), @r###"
{
"uid": "novector",
"primaryKey": "id",
"createdAt": "2024-05-16T15:33:03.568055Z",
"updatedAt": "2024-05-16T15:33:07.530217Z"
}
"###);
insta::assert_json_snapshot!(novector_index.settings().unwrap().embedders, @"null");
{
let documents: Result<Vec<_>> = novector_index.documents().unwrap().collect();
let mut documents = documents.unwrap();
assert_eq!(documents.len(), 2);
documents.sort_by_key(|doc| doc.get("id").unwrap().to_string());
{
let document = documents.pop().unwrap();
insta::assert_json_snapshot!(document, @r###"
{
"id": "e1",
"other": "random1",
"_vectors": "toto"
}
"###);
}
{
let document = documents.pop().unwrap();
insta::assert_json_snapshot!(document, @r###"
{
"id": "e0",
"other": "random0"
}
"###);
}
}
assert_eq!(
dump.features().unwrap().unwrap(),
RuntimeTogglableFeatures { vector_store: true, ..Default::default() }
);
}
#[test]
fn import_dump_v6_experimental() {
let dump = File::open("tests/assets/v6-with-experimental.dump").unwrap();

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@ -1,783 +0,0 @@
---
source: dump/src/reader/mod.rs
expression: document
---
{
"id": "e3",
"desc": "overriden vector + map",
"_vectors": {
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"toto": [
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]
}
}

View File

@ -1,786 +0,0 @@
---
source: dump/src/reader/mod.rs
expression: document
---
{
"id": "e2",
"desc": "natural vector + map",
"_vectors": {
"toto": [],
"default": {
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View File

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]
],
"regenerate": true
}
}
}

View File

@ -1,780 +0,0 @@
---
source: dump/src/reader/mod.rs
expression: document
---
{
"id": "e0",
"desc": "overriden vector",
"_vectors": {
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}
}

View File

@ -152,7 +152,6 @@ impl Settings<Unchecked> {
}
#[derive(Debug, Clone, Deserialize)]
#[allow(dead_code)] // otherwise rustc complains that the fields go unused
#[cfg_attr(test, derive(serde::Serialize))]
#[serde(deny_unknown_fields)]
#[serde(rename_all = "camelCase")]

View File

@ -182,7 +182,6 @@ impl Settings<Unchecked> {
}
}
#[allow(dead_code)] // otherwise rustc complains that the fields go unused
#[derive(Debug, Clone, Deserialize)]
#[cfg_attr(test, derive(serde::Serialize))]
#[serde(deny_unknown_fields)]

View File

@ -200,7 +200,6 @@ impl std::ops::Deref for IndexUid {
}
}
#[allow(dead_code)] // otherwise rustc complains that the fields go unused
#[derive(Debug)]
#[cfg_attr(test, derive(serde::Serialize))]
#[cfg_attr(test, serde(rename_all = "camelCase"))]

View File

@ -568,7 +568,7 @@ pub mod tests {
insta::assert_display_snapshot!(p(r"title = 'foo\\\\'"), @r#"{title} = {foo\\}"#);
insta::assert_display_snapshot!(p(r"title = 'foo\\\\\\'"), @r#"{title} = {foo\\\}"#);
insta::assert_display_snapshot!(p(r"title = 'foo\\\\\\\\'"), @r#"{title} = {foo\\\\}"#);
// but it also works with other sequences
// but it also works with other sequencies
insta::assert_display_snapshot!(p(r#"title = 'foo\x20\n\t\"\'"'"#), @"{title} = {foo \n\t\"\'\"}");
}

View File

@ -22,6 +22,7 @@ flate2 = "1.0.28"
meilisearch-auth = { path = "../meilisearch-auth" }
meilisearch-types = { path = "../meilisearch-types" }
page_size = "0.5.0"
puffin = { version = "0.16.0", features = ["serialization"] }
rayon = "1.8.1"
roaring = { version = "0.10.2", features = ["serde"] }
serde = { version = "1.0.195", features = ["derive"] }
@ -36,13 +37,11 @@ time = { version = "0.3.31", features = [
"macros",
] }
tracing = "0.1.40"
ureq = "2.9.7"
ureq = "2.9.1"
uuid = { version = "1.6.1", features = ["serde", "v4"] }
[dev-dependencies]
arroy = "0.4.0"
big_s = "1.0.2"
crossbeam = "0.8.4"
insta = { version = "1.34.0", features = ["json", "redactions"] }
maplit = "1.0.2"
meili-snap = { path = "../meili-snap" }

View File

@ -13,7 +13,7 @@ We can combine the two tasks in a single batch:
1. import documents X and Y
Processing this batch is functionally equivalent to processing the two
tasks individually, but should be much faster since we are only performing
tasks individally, but should be much faster since we are only performing
one indexing operation.
*/
@ -31,9 +31,6 @@ use meilisearch_types::milli::heed::CompactionOption;
use meilisearch_types::milli::update::{
IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings as MilliSettings,
};
use meilisearch_types::milli::vector::parsed_vectors::{
ExplicitVectors, VectorOrArrayOfVectors, RESERVED_VECTORS_FIELD_NAME,
};
use meilisearch_types::milli::{self, Filter};
use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
@ -529,6 +526,8 @@ impl IndexScheduler {
#[cfg(test)]
self.maybe_fail(crate::tests::FailureLocation::InsideCreateBatch)?;
puffin::profile_function!();
let enqueued = &self.get_status(rtxn, Status::Enqueued)?;
let to_cancel = self.get_kind(rtxn, Kind::TaskCancelation)? & enqueued;
@ -637,6 +636,8 @@ impl IndexScheduler {
self.breakpoint(crate::Breakpoint::InsideProcessBatch);
}
puffin::profile_function!(batch.to_string());
match batch {
Batch::TaskCancelation { mut task, previous_started_at, previous_processing_tasks } => {
// 1. Retrieve the tasks that matched the query at enqueue-time.
@ -784,12 +785,10 @@ impl IndexScheduler {
let dst = temp_snapshot_dir.path().join("auth");
fs::create_dir_all(&dst)?;
// TODO We can't use the open_auth_store_env function here but we should
let auth = unsafe {
milli::heed::EnvOpenOptions::new()
.map_size(1024 * 1024 * 1024) // 1 GiB
.max_dbs(2)
.open(&self.auth_path)
}?;
let auth = milli::heed::EnvOpenOptions::new()
.map_size(1024 * 1024 * 1024) // 1 GiB
.max_dbs(2)
.open(&self.auth_path)?;
auth.copy_to_file(dst.join("data.mdb"), CompactionOption::Enabled)?;
// 5. Copy and tarball the flat snapshot
@ -909,67 +908,14 @@ impl IndexScheduler {
let fields_ids_map = index.fields_ids_map(&rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let embedding_configs = index.embedding_configs(&rtxn)?;
// 3.1. Dump the documents
for ret in index.all_documents(&rtxn)? {
if self.must_stop_processing.get() {
return Err(Error::AbortedTask);
}
let (id, doc) = ret?;
let mut document = milli::obkv_to_json(&all_fields, &fields_ids_map, doc)?;
'inject_vectors: {
let embeddings = index.embeddings(&rtxn, id)?;
if embeddings.is_empty() {
break 'inject_vectors;
}
let vectors = document
.entry(RESERVED_VECTORS_FIELD_NAME.to_owned())
.or_insert(serde_json::Value::Object(Default::default()));
let serde_json::Value::Object(vectors) = vectors else {
return Err(milli::Error::UserError(
milli::UserError::InvalidVectorsMapType {
document_id: {
if let Ok(Some(Ok(index))) = index
.external_id_of(&rtxn, std::iter::once(id))
.map(|it| it.into_iter().next())
{
index
} else {
format!("internal docid={id}")
}
},
value: vectors.clone(),
},
)
.into());
};
for (embedder_name, embeddings) in embeddings {
let user_provided = embedding_configs
.iter()
.find(|conf| conf.name == embedder_name)
.is_some_and(|conf| conf.user_provided.contains(id));
let embeddings = ExplicitVectors {
embeddings: Some(
VectorOrArrayOfVectors::from_array_of_vectors(embeddings),
),
regenerate: !user_provided,
};
vectors.insert(
embedder_name,
serde_json::to_value(embeddings).unwrap(),
);
}
}
let (_id, doc) = ret?;
let document = milli::obkv_to_json(&all_fields, &fields_ids_map, doc)?;
index_dumper.push_document(&document)?;
}
@ -1228,6 +1174,8 @@ impl IndexScheduler {
index: &'i Index,
operation: IndexOperation,
) -> Result<Vec<Task>> {
puffin::profile_function!();
match operation {
IndexOperation::DocumentClear { mut tasks, .. } => {
let count = milli::update::ClearDocuments::new(index_wtxn, index).execute()?;

View File

@ -68,6 +68,19 @@ impl RoFeatures {
.into())
}
}
pub fn check_puffin(&self) -> Result<()> {
if self.runtime.export_puffin_reports {
Ok(())
} else {
Err(FeatureNotEnabledError {
disabled_action: "Outputting Puffin reports to disk",
feature: "export puffin reports",
issue_link: "https://github.com/meilisearch/product/discussions/693",
}
.into())
}
}
}
impl FeatureData {

View File

@ -32,6 +32,7 @@ pub fn snapshot_index_scheduler(scheduler: &IndexScheduler) -> String {
features: _,
max_number_of_tasks: _,
max_number_of_batched_tasks: _,
puffin_frame: _,
wake_up: _,
dumps_path: _,
snapshots_path: _,

File diff suppressed because it is too large Load Diff

View File

@ -1,15 +0,0 @@
---
source: index-scheduler/src/lib.rs
expression: doc
---
{
"doggo": "Intel",
"breed": "beagle",
"_vectors": {
"noise": [
0.1,
0.2,
0.3
]
}
}

View File

@ -1,20 +0,0 @@
---
source: index-scheduler/src/lib.rs
expression: task.details
---
{
"embedders": {
"A_fakerest": {
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 384,
"url": "http://localhost:7777"
},
"B_small_hf": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.doggo}} the {{doc.breed}} best doggo"
}
}
}

View File

@ -1,15 +0,0 @@
---
source: index-scheduler/src/lib.rs
expression: doc
---
{
"doggo": "kefir",
"breed": "patou",
"_vectors": {
"noise": [
0.1,
0.2,
0.3
]
}
}

View File

@ -1,23 +0,0 @@
---
source: index-scheduler/src/lib.rs
expression: fakerest_config.embedder_options
---
{
"Rest": {
"api_key": "My super secret",
"distribution": null,
"dimensions": 384,
"url": "http://localhost:7777",
"query": null,
"input_field": [
"input"
],
"path_to_embeddings": [
"data"
],
"embedding_object": [
"embedding"
],
"input_type": "text"
}
}

View File

@ -1,11 +0,0 @@
---
source: index-scheduler/src/lib.rs
expression: simple_hf_config.embedder_options
---
{
"HuggingFace": {
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"distribution": null
}
}

View File

@ -1,20 +0,0 @@
---
source: index-scheduler/src/lib.rs
expression: task.details
---
{
"embedders": {
"A_fakerest": {
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 384,
"url": "http://localhost:7777"
},
"B_small_hf": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.doggo}} the {{doc.breed}} best doggo"
}
}
}

View File

@ -7,7 +7,6 @@ expression: task.details
"default": {
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 4,
"url": "http://localhost:7777"
}
}

View File

@ -6,7 +6,7 @@ expression: embedding_config.embedder_options
"Rest": {
"api_key": "My super secret",
"distribution": null,
"dimensions": 4,
"dimensions": null,
"url": "http://localhost:7777",
"query": null,
"input_field": [

View File

@ -7,7 +7,6 @@ expression: task.details
"default": {
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 4,
"url": "http://localhost:7777"
}
}

View File

@ -1,49 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
2 {uid: 2, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [0,1,2,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,2,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,2,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1, "doggo": 1, "id": 1} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -1,48 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
2 {uid: 2, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [2,]
succeeded [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,2,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,2,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1, "doggo": 1, "id": 1} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000001
----------------------------------------------------------------------

View File

@ -1,45 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1, "doggo": 1, "id": 1} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -1,44 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [1,]
succeeded [0,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 0, field_distribution: {} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@ -1,36 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]
----------------------------------------------------------------------
### Kind:
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
----------------------------------------------------------------------
### Started At:
----------------------------------------------------------------------
### Finished At:
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -1,40 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [0,]
----------------------------------------------------------------------
### Kind:
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 0, field_distribution: {} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: NotSet, searchable_attributes: NotSet, filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: NotSet, document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: NotSet, searchable_attributes: NotSet, filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: NotSet, document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]

View File

@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: NotSet, searchable_attributes: NotSet, filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: NotSet, document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: NotSet, searchable_attributes: NotSet, filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: NotSet, document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []

View File

@ -272,9 +272,9 @@ pub fn swap_index_uid_in_task(task: &mut Task, swap: (&str, &str)) {
}
for index_uid in index_uids {
if index_uid == swap.0 {
swap.1.clone_into(index_uid);
*index_uid = swap.1.to_owned();
} else if index_uid == swap.1 {
swap.0.clone_into(index_uid);
*index_uid = swap.0.to_owned();
}
}
}

View File

@ -188,12 +188,6 @@ impl AuthFilter {
self.allow_index_creation && self.is_index_authorized(index)
}
#[inline]
/// Return true if a tenant token was used to generate the search rules.
pub fn is_tenant_token(&self) -> bool {
self.search_rules.is_some()
}
pub fn with_allowed_indexes(allowed_indexes: HashSet<IndexUidPattern>) -> Self {
Self {
search_rules: None,
@ -211,7 +205,6 @@ impl AuthFilter {
.unwrap_or(true)
}
/// Check if the index is authorized by the API key and the tenant token.
pub fn is_index_authorized(&self, index: &str) -> bool {
self.key_authorized_indexes.is_index_authorized(index)
&& self
@ -221,44 +214,6 @@ impl AuthFilter {
.unwrap_or(true)
}
/// Only check if the index is authorized by the API key
pub fn api_key_is_index_authorized(&self, index: &str) -> bool {
self.key_authorized_indexes.is_index_authorized(index)
}
/// Only check if the index is authorized by the tenant token
pub fn tenant_token_is_index_authorized(&self, index: &str) -> bool {
self.search_rules
.as_ref()
.map(|search_rules| search_rules.is_index_authorized(index))
.unwrap_or(true)
}
/// Return the list of authorized indexes by the tenant token if any
pub fn tenant_token_list_index_authorized(&self) -> Vec<String> {
match self.search_rules {
Some(ref search_rules) => {
let mut indexes: Vec<_> = match search_rules {
SearchRules::Set(set) => set.iter().map(|s| s.to_string()).collect(),
SearchRules::Map(map) => map.keys().map(|s| s.to_string()).collect(),
};
indexes.sort_unstable();
indexes
}
None => Vec::new(),
}
}
/// Return the list of authorized indexes by the api key if any
pub fn api_key_list_index_authorized(&self) -> Vec<String> {
let mut indexes: Vec<_> = match self.key_authorized_indexes {
SearchRules::Set(ref set) => set.iter().map(|s| s.to_string()).collect(),
SearchRules::Map(ref map) => map.keys().map(|s| s.to_string()).collect(),
};
indexes.sort_unstable();
indexes
}
pub fn get_index_search_rules(&self, index: &str) -> Option<IndexSearchRules> {
if !self.is_index_authorized(index) {
return None;

View File

@ -49,7 +49,7 @@ pub fn open_auth_store_env(path: &Path) -> milli::heed::Result<milli::heed::Env>
let mut options = EnvOpenOptions::new();
options.map_size(AUTH_STORE_SIZE); // 1GB
options.max_dbs(2);
unsafe { options.open(path) }
options.open(path)
}
impl HeedAuthStore {

View File

@ -11,7 +11,7 @@ edition.workspace = true
license.workspace = true
[dependencies]
actix-web = { version = "4.6.0", default-features = false }
actix-web = { version = "4.5.1", default-features = false }
anyhow = "1.0.79"
convert_case = "0.6.0"
csv = "1.3.0"
@ -30,12 +30,7 @@ serde_json = "1.0.111"
tar = "0.4.40"
tempfile = "3.9.0"
thiserror = "1.0.56"
time = { version = "0.3.31", features = [
"serde-well-known",
"formatting",
"parsing",
"macros",
] }
time = { version = "0.3.31", features = ["serde-well-known", "formatting", "parsing", "macros"] }
tokio = "1.35"
uuid = { version = "1.6.1", features = ["serde", "v4"] }
@ -49,13 +44,10 @@ all-tokenizations = ["milli/all-tokenizations"]
# chinese specialized tokenization
chinese = ["milli/chinese"]
chinese-pinyin = ["milli/chinese-pinyin"]
# hebrew specialized tokenization
hebrew = ["milli/hebrew"]
# japanese specialized tokenization
japanese = ["milli/japanese"]
# korean specialized tokenization
korean = ["milli/korean"]
# thai specialized tokenization
thai = ["milli/thai"]
# allow greek specialized tokenization
@ -64,5 +56,3 @@ greek = ["milli/greek"]
khmer = ["milli/khmer"]
# allow vietnamese specialized tokenization
vietnamese = ["milli/vietnamese"]
# force swedish character recomposition
swedish-recomposition = ["milli/swedish-recomposition"]

View File

@ -26,7 +26,7 @@ pub type DeserrQueryParamError<C = BadRequest> = DeserrError<DeserrQueryParam, C
/// A request deserialization error.
///
/// The first generic parameter is a marker type describing the format of the request: either json (e.g. [`DeserrJson`] or [`DeserrQueryParam`]).
/// The first generic paramater is a marker type describing the format of the request: either json (e.g. [`DeserrJson`] or [`DeserrQueryParam`]).
/// The second generic parameter is the default error code for the deserialization error, in case it is not given.
pub struct DeserrError<Format, C: Default + ErrorCode> {
pub msg: String,
@ -189,6 +189,3 @@ merge_with_error_impl_take_error_message!(ParseTaskKindError);
merge_with_error_impl_take_error_message!(ParseTaskStatusError);
merge_with_error_impl_take_error_message!(IndexUidFormatError);
merge_with_error_impl_take_error_message!(InvalidSearchSemanticRatio);
merge_with_error_impl_take_error_message!(InvalidSearchRankingScoreThreshold);
merge_with_error_impl_take_error_message!(InvalidSimilarRankingScoreThreshold);
merge_with_error_impl_take_error_message!(InvalidSimilarId);

View File

@ -222,7 +222,6 @@ InvalidApiKeyUid , InvalidRequest , BAD_REQUEST ;
InvalidContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
InvalidDocumentRetrieveVectors , InvalidRequest , BAD_REQUEST ;
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
@ -240,27 +239,21 @@ InvalidIndexUid , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToSearchOn , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToCrop , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToHighlight , InvalidRequest , BAD_REQUEST ;
InvalidSimilarAttributesToRetrieve , InvalidRequest , BAD_REQUEST ;
InvalidSimilarRetrieveVectors , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToRetrieve , InvalidRequest , BAD_REQUEST ;
InvalidSearchRankingScoreThreshold , InvalidRequest , BAD_REQUEST ;
InvalidSimilarRankingScoreThreshold , InvalidRequest , BAD_REQUEST ;
InvalidSearchRetrieveVectors , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropLength , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
InvalidSearchSemanticRatio , InvalidRequest , BAD_REQUEST ;
InvalidFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
InvalidSimilarId , InvalidRequest , BAD_REQUEST ;
InvalidRecommendContext , InvalidRequest , BAD_REQUEST ;
InvalidRecommendId , InvalidRequest , BAD_REQUEST ;
InvalidRecommendPrompt , InvalidRequest , BAD_REQUEST ;
InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;
InvalidSimilarFilter , InvalidRequest , BAD_REQUEST ;
InvalidSearchHighlightPostTag , InvalidRequest , BAD_REQUEST ;
InvalidSearchHighlightPreTag , InvalidRequest , BAD_REQUEST ;
InvalidSearchHitsPerPage , InvalidRequest , BAD_REQUEST ;
InvalidSimilarLimit , InvalidRequest , BAD_REQUEST ;
InvalidSearchLimit , InvalidRequest , BAD_REQUEST ;
InvalidSearchMatchingStrategy , InvalidRequest , BAD_REQUEST ;
InvalidSimilarOffset , InvalidRequest , BAD_REQUEST ;
InvalidSearchOffset , InvalidRequest , BAD_REQUEST ;
InvalidSearchPage , InvalidRequest , BAD_REQUEST ;
InvalidSearchQ , InvalidRequest , BAD_REQUEST ;
@ -269,18 +262,15 @@ InvalidFacetSearchName , InvalidRequest , BAD_REQUEST ;
InvalidSearchVector , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowMatchesPosition , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowRankingScore , InvalidRequest , BAD_REQUEST ;
InvalidSimilarShowRankingScore , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowRankingScoreDetails , InvalidRequest , BAD_REQUEST ;
InvalidSimilarShowRankingScoreDetails , InvalidRequest , BAD_REQUEST ;
InvalidSearchSort , InvalidRequest , BAD_REQUEST ;
InvalidSearchDistinct , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDisplayedAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDistinctAttribute , InvalidRequest , BAD_REQUEST ;
InvalidSettingsProximityPrecision , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFaceting , InvalidRequest , BAD_REQUEST ;
InvalidSettingsFilterableAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsPagination , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSearchCutoffMs , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSearchCutoffMs , InvalidRequest , BAD_REQUEST ;
InvalidSettingsEmbedders , InvalidRequest , BAD_REQUEST ;
InvalidSettingsRankingRules , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSearchableAttributes , InvalidRequest , BAD_REQUEST ;
@ -321,6 +311,8 @@ MissingFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
MissingIndexUid , InvalidRequest , BAD_REQUEST ;
MissingMasterKey , Auth , UNAUTHORIZED ;
MissingPayload , InvalidRequest , BAD_REQUEST ;
MissingPrompt , InvalidRequest , BAD_REQUEST ;
MissingPromptOrId , InvalidRequest , BAD_REQUEST ;
MissingSearchHybrid , InvalidRequest , BAD_REQUEST ;
MissingSwapIndexes , InvalidRequest , BAD_REQUEST ;
MissingTaskFilters , InvalidRequest , BAD_REQUEST ;
@ -335,8 +327,7 @@ UnretrievableErrorCode , InvalidRequest , BAD_REQUEST ;
UnsupportedMediaType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
// Experimental features
VectorEmbeddingError , InvalidRequest , BAD_REQUEST ;
NotFoundSimilarId , InvalidRequest , BAD_REQUEST
VectorEmbeddingError , InvalidRequest , BAD_REQUEST
}
impl ErrorCode for JoinError {
@ -385,7 +376,6 @@ impl ErrorCode for milli::Error {
Code::IndexPrimaryKeyMultipleCandidatesFound
}
UserError::PrimaryKeyCannotBeChanged(_) => Code::IndexPrimaryKeyAlreadyExists,
UserError::InvalidDistinctAttribute { .. } => Code::InvalidSearchDistinct,
UserError::SortRankingRuleMissing => Code::InvalidSearchSort,
UserError::InvalidFacetsDistribution { .. } => Code::InvalidSearchFacets,
UserError::InvalidSortableAttribute { .. } => Code::InvalidSearchSort,
@ -398,8 +388,8 @@ impl ErrorCode for milli::Error {
UserError::CriterionError(_) => Code::InvalidSettingsRankingRules,
UserError::InvalidGeoField { .. } => Code::InvalidDocumentGeoField,
UserError::InvalidVectorDimensions { .. } => Code::InvalidVectorDimensions,
UserError::InvalidVectorsMapType { .. }
| UserError::InvalidVectorsEmbedderConf { .. } => Code::InvalidVectorsType,
UserError::InvalidVectorsMapType { .. } => Code::InvalidVectorsType,
UserError::InvalidVectorsType { .. } => Code::InvalidVectorsType,
UserError::TooManyVectors(_, _) => Code::TooManyVectors,
UserError::SortError(_) => Code::InvalidSearchSort,
UserError::InvalidMinTypoWordLenSetting(_, _) => {
@ -438,6 +428,7 @@ impl ErrorCode for HeedError {
HeedError::Mdb(_)
| HeedError::Encoding(_)
| HeedError::Decoding(_)
| HeedError::InvalidDatabaseTyping
| HeedError::DatabaseClosing
| HeedError::BadOpenOptions { .. } => Code::Internal,
}
@ -502,32 +493,6 @@ impl fmt::Display for deserr_codes::InvalidSearchSemanticRatio {
}
}
impl fmt::Display for deserr_codes::InvalidSimilarId {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(
f,
"the value of `id` is invalid. \
A document identifier can be of type integer or string, \
only composed of alphanumeric characters (a-z A-Z 0-9), hyphens (-) and underscores (_)."
)
}
}
impl fmt::Display for deserr_codes::InvalidSearchRankingScoreThreshold {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(
f,
"the value of `rankingScoreThreshold` is invalid, expected a float between `0.0` and `1.0`."
)
}
}
impl fmt::Display for deserr_codes::InvalidSimilarRankingScoreThreshold {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
deserr_codes::InvalidSearchRankingScoreThreshold.fmt(f)
}
}
#[macro_export]
macro_rules! internal_error {
($target:ty : $($other:path), *) => {

View File

@ -6,6 +6,7 @@ pub struct RuntimeTogglableFeatures {
pub vector_store: bool,
pub metrics: bool,
pub logs_route: bool,
pub export_puffin_reports: bool,
}
#[derive(Default, Debug, Clone, Copy)]

View File

@ -3,12 +3,11 @@ use std::convert::Infallible;
use std::fmt;
use std::marker::PhantomData;
use std::num::NonZeroUsize;
use std::ops::{ControlFlow, Deref};
use std::ops::ControlFlow;
use std::str::FromStr;
use deserr::{DeserializeError, Deserr, ErrorKind, MergeWithError, ValuePointerRef};
use fst::IntoStreamer;
use milli::index::IndexEmbeddingConfig;
use milli::proximity::ProximityPrecision;
use milli::update::Setting;
use milli::{Criterion, CriterionError, Index, DEFAULT_VALUES_PER_FACET};
@ -144,13 +143,21 @@ impl MergeWithError<milli::CriterionError> for DeserrJsonError<InvalidSettingsRa
)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
pub struct Settings<T> {
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[serde(
default,
serialize_with = "serialize_with_wildcard",
skip_serializing_if = "Setting::is_not_set"
)]
#[deserr(default, error = DeserrJsonError<InvalidSettingsDisplayedAttributes>)]
pub displayed_attributes: WildcardSetting,
pub displayed_attributes: Setting<Vec<String>>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[serde(
default,
serialize_with = "serialize_with_wildcard",
skip_serializing_if = "Setting::is_not_set"
)]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSearchableAttributes>)]
pub searchable_attributes: WildcardSetting,
pub searchable_attributes: Setting<Vec<String>>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsFilterableAttributes>)]
@ -244,8 +251,8 @@ impl<T> Settings<T> {
impl Settings<Checked> {
pub fn cleared() -> Settings<Checked> {
Settings {
displayed_attributes: Setting::Reset.into(),
searchable_attributes: Setting::Reset.into(),
displayed_attributes: Setting::Reset,
searchable_attributes: Setting::Reset,
filterable_attributes: Setting::Reset,
sortable_attributes: Setting::Reset,
ranking_rules: Setting::Reset,
@ -312,7 +319,7 @@ impl Settings<Checked> {
impl Settings<Unchecked> {
pub fn check(self) -> Settings<Checked> {
let displayed_attributes = match self.displayed_attributes.0 {
let displayed_attributes = match self.displayed_attributes {
Setting::Set(fields) => {
if fields.iter().any(|f| f == "*") {
Setting::Reset
@ -323,7 +330,7 @@ impl Settings<Unchecked> {
otherwise => otherwise,
};
let searchable_attributes = match self.searchable_attributes.0 {
let searchable_attributes = match self.searchable_attributes {
Setting::Set(fields) => {
if fields.iter().any(|f| f == "*") {
Setting::Reset
@ -335,8 +342,8 @@ impl Settings<Unchecked> {
};
Settings {
displayed_attributes: displayed_attributes.into(),
searchable_attributes: searchable_attributes.into(),
displayed_attributes,
searchable_attributes,
filterable_attributes: self.filterable_attributes,
sortable_attributes: self.sortable_attributes,
ranking_rules: self.ranking_rules,
@ -405,13 +412,13 @@ pub fn apply_settings_to_builder(
_kind,
} = settings;
match searchable_attributes.deref() {
match searchable_attributes {
Setting::Set(ref names) => builder.set_searchable_fields(names.clone()),
Setting::Reset => builder.reset_searchable_fields(),
Setting::NotSet => (),
}
match displayed_attributes.deref() {
match displayed_attributes {
Setting::Set(ref names) => builder.set_displayed_fields(names.clone()),
Setting::Reset => builder.reset_displayed_fields(),
Setting::NotSet => (),
@ -673,7 +680,7 @@ pub fn settings(
let embedders: BTreeMap<_, _> = index
.embedding_configs(rtxn)?
.into_iter()
.map(|IndexEmbeddingConfig { name, config, .. }| (name, Setting::Set(config.into())))
.map(|(name, config)| (name, Setting::Set(config.into())))
.collect();
let embedders = if embedders.is_empty() { Setting::NotSet } else { Setting::Set(embedders) };
@ -683,13 +690,11 @@ pub fn settings(
displayed_attributes: match displayed_attributes {
Some(attrs) => Setting::Set(attrs),
None => Setting::Reset,
}
.into(),
},
searchable_attributes: match searchable_attributes {
Some(attrs) => Setting::Set(attrs),
None => Setting::Reset,
}
.into(),
},
filterable_attributes: Setting::Set(filterable_attributes),
sortable_attributes: Setting::Set(sortable_attributes),
ranking_rules: Setting::Set(criteria.iter().map(|c| c.clone().into()).collect()),
@ -843,41 +848,6 @@ impl From<ProximityPrecisionView> for ProximityPrecision {
}
}
#[derive(Debug, Clone, Default, Deserialize, PartialEq, Eq)]
pub struct WildcardSetting(Setting<Vec<String>>);
impl From<Setting<Vec<String>>> for WildcardSetting {
fn from(setting: Setting<Vec<String>>) -> Self {
Self(setting)
}
}
impl Serialize for WildcardSetting {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
serialize_with_wildcard(&self.0, serializer)
}
}
impl<E: deserr::DeserializeError> Deserr<E> for WildcardSetting {
fn deserialize_from_value<V: deserr::IntoValue>(
value: deserr::Value<V>,
location: ValuePointerRef<'_>,
) -> Result<Self, E> {
Ok(Self(Setting::deserialize_from_value(value, location)?))
}
}
impl std::ops::Deref for WildcardSetting {
type Target = Setting<Vec<String>>;
fn deref(&self) -> &Self::Target {
&self.0
}
}
#[cfg(test)]
pub(crate) mod test {
use super::*;
@ -886,8 +856,8 @@ pub(crate) mod test {
fn test_setting_check() {
// test no changes
let settings = Settings {
displayed_attributes: Setting::Set(vec![String::from("hello")]).into(),
searchable_attributes: Setting::Set(vec![String::from("hello")]).into(),
displayed_attributes: Setting::Set(vec![String::from("hello")]),
searchable_attributes: Setting::Set(vec![String::from("hello")]),
filterable_attributes: Setting::NotSet,
sortable_attributes: Setting::NotSet,
ranking_rules: Setting::NotSet,
@ -913,9 +883,8 @@ pub(crate) mod test {
// test wildcard
// test no changes
let settings = Settings {
displayed_attributes: Setting::Set(vec![String::from("*")]).into(),
searchable_attributes: Setting::Set(vec![String::from("hello"), String::from("*")])
.into(),
displayed_attributes: Setting::Set(vec![String::from("*")]),
searchable_attributes: Setting::Set(vec![String::from("hello"), String::from("*")]),
filterable_attributes: Setting::NotSet,
sortable_attributes: Setting::NotSet,
ranking_rules: Setting::NotSet,
@ -935,7 +904,7 @@ pub(crate) mod test {
};
let checked = settings.check();
assert_eq!(checked.displayed_attributes, Setting::Reset.into());
assert_eq!(checked.searchable_attributes, Setting::Reset.into());
assert_eq!(checked.displayed_attributes, Setting::Reset);
assert_eq!(checked.searchable_attributes, Setting::Reset);
}
}

View File

@ -14,20 +14,20 @@ default-run = "meilisearch"
[dependencies]
actix-cors = "0.7.0"
actix-http = { version = "3.7.0", default-features = false, features = [
actix-http = { version = "3.6.0", default-features = false, features = [
"compress-brotli",
"compress-gzip",
"rustls-0_21",
] }
actix-utils = "3.0.1"
actix-web = { version = "4.6.0", default-features = false, features = [
actix-web = { version = "4.5.1", default-features = false, features = [
"macros",
"compress-brotli",
"compress-gzip",
"cookies",
"rustls-0_21",
] }
actix-web-static-files = { version = "4.0.1", optional = true }
actix-web-static-files = { git = "https://github.com/kilork/actix-web-static-files.git", rev = "2d3b6160", optional = true }
anyhow = { version = "1.0.79", features = ["backtrace"] }
async-stream = "0.3.5"
async-trait = "0.1.77"
@ -67,6 +67,7 @@ permissive-json-pointer = { path = "../permissive-json-pointer" }
pin-project-lite = "0.2.13"
platform-dirs = "0.3.0"
prometheus = { version = "0.13.3", features = ["process"] }
puffin = { version = "0.16.0", features = ["serialization"] }
rand = "0.8.5"
rayon = "1.8.0"
regex = "1.10.2"
@ -74,7 +75,7 @@ reqwest = { version = "0.11.23", features = [
"rustls-tls",
"json",
], default-features = false }
rustls = "0.21.12"
rustls = "0.21.6"
rustls-pemfile = "1.0.2"
segment = { version = "0.2.3", optional = true }
serde = { version = "1.0.195", features = ["derive"] }
@ -98,26 +99,27 @@ tokio-stream = "0.1.14"
toml = "0.8.8"
uuid = { version = "1.6.1", features = ["serde", "v4"] }
walkdir = "2.4.0"
yaup = "0.2.1"
serde_urlencoded = "0.7.1"
termcolor = "1.4.1"
url = { version = "2.5.0", features = ["serde"] }
tracing = "0.1.40"
tracing-subscriber = { version = "0.3.18", features = ["json"] }
tracing-trace = { version = "0.1.0", path = "../tracing-trace" }
tracing-actix-web = "0.7.10"
tracing-actix-web = "0.7.9"
build-info = { version = "1.7.0", path = "../build-info" }
[dev-dependencies]
actix-rt = "2.9.0"
assert-json-diff = "2.0.2"
brotli = "6.0.0"
brotli = "3.4.0"
insta = "1.34.0"
manifest-dir-macros = "0.1.18"
maplit = "1.0.2"
meili-snap = { path = "../meili-snap" }
temp-env = "0.3.6"
urlencoding = "2.1.3"
yaup = "0.3.1"
yaup = "0.2.1"
[build-dependencies]
anyhow = { version = "1.0.79", optional = true }
@ -147,16 +149,13 @@ mini-dashboard = [
"zip",
]
chinese = ["meilisearch-types/chinese"]
chinese-pinyin = ["meilisearch-types/chinese-pinyin"]
hebrew = ["meilisearch-types/hebrew"]
japanese = ["meilisearch-types/japanese"]
korean = ["meilisearch-types/korean"]
thai = ["meilisearch-types/thai"]
greek = ["meilisearch-types/greek"]
khmer = ["meilisearch-types/khmer"]
vietnamese = ["meilisearch-types/vietnamese"]
swedish-recomposition = ["meilisearch-types/swedish-recomposition"]
[package.metadata.mini-dashboard]
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.14/build.zip"
sha1 = "592d1b5a3459d621d0aae1dded8fe3154f5c38fe"
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.13/build.zip"
sha1 = "e20cc9b390003c6c844f4b8bcc5c5013191a77ff"

View File

@ -7,6 +7,7 @@ use serde_json::Value;
use super::{find_user_id, Analytics, DocumentDeletionKind, DocumentFetchKind};
use crate::routes::indexes::documents::UpdateDocumentsQuery;
use crate::routes::tasks::TasksFilterQuery;
use crate::Opt;
pub struct MockAnalytics {
@ -25,18 +26,6 @@ impl SearchAggregator {
pub fn succeed(&mut self, _: &dyn Any) {}
}
#[derive(Default)]
pub struct SimilarAggregator;
#[allow(dead_code)]
impl SimilarAggregator {
pub fn from_query(_: &dyn Any, _: &dyn Any) -> Self {
Self
}
pub fn succeed(&mut self, _: &dyn Any) {}
}
#[derive(Default)]
pub struct MultiSearchAggregator;
@ -78,8 +67,6 @@ impl Analytics for MockAnalytics {
fn publish(&self, _event_name: String, _send: Value, _request: Option<&HttpRequest>) {}
fn get_search(&self, _aggregate: super::SearchAggregator) {}
fn post_search(&self, _aggregate: super::SearchAggregator) {}
fn get_similar(&self, _aggregate: super::SimilarAggregator) {}
fn post_similar(&self, _aggregate: super::SimilarAggregator) {}
fn post_multi_search(&self, _aggregate: super::MultiSearchAggregator) {}
fn post_facet_search(&self, _aggregate: super::FacetSearchAggregator) {}
fn add_documents(
@ -99,4 +86,6 @@ impl Analytics for MockAnalytics {
}
fn get_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
fn post_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
fn get_tasks(&self, _query: &TasksFilterQuery, _request: &HttpRequest) {}
fn health_seen(&self, _request: &HttpRequest) {}
}

View File

@ -14,6 +14,7 @@ use platform_dirs::AppDirs;
use serde_json::Value;
use crate::routes::indexes::documents::UpdateDocumentsQuery;
use crate::routes::tasks::TasksFilterQuery;
// if the analytics feature is disabled
// the `SegmentAnalytics` point to the mock instead of the real analytics
@ -22,8 +23,6 @@ pub type SegmentAnalytics = mock_analytics::MockAnalytics;
#[cfg(not(feature = "analytics"))]
pub type SearchAggregator = mock_analytics::SearchAggregator;
#[cfg(not(feature = "analytics"))]
pub type SimilarAggregator = mock_analytics::SimilarAggregator;
#[cfg(not(feature = "analytics"))]
pub type MultiSearchAggregator = mock_analytics::MultiSearchAggregator;
#[cfg(not(feature = "analytics"))]
pub type FacetSearchAggregator = mock_analytics::FacetSearchAggregator;
@ -34,8 +33,6 @@ pub type SegmentAnalytics = segment_analytics::SegmentAnalytics;
#[cfg(feature = "analytics")]
pub type SearchAggregator = segment_analytics::SearchAggregator;
#[cfg(feature = "analytics")]
pub type SimilarAggregator = segment_analytics::SimilarAggregator;
#[cfg(feature = "analytics")]
pub type MultiSearchAggregator = segment_analytics::MultiSearchAggregator;
#[cfg(feature = "analytics")]
pub type FacetSearchAggregator = segment_analytics::FacetSearchAggregator;
@ -74,8 +71,8 @@ pub enum DocumentDeletionKind {
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum DocumentFetchKind {
PerDocumentId { retrieve_vectors: bool },
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool },
PerDocumentId,
Normal { with_filter: bool, limit: usize, offset: usize },
}
pub trait Analytics: Sync + Send {
@ -90,12 +87,6 @@ pub trait Analytics: Sync + Send {
/// This method should be called to aggregate a post search
fn post_search(&self, aggregate: SearchAggregator);
/// This method should be called to aggregate a get similar request
fn get_similar(&self, aggregate: SimilarAggregator);
/// This method should be called to aggregate a post similar request
fn post_similar(&self, aggregate: SimilarAggregator);
/// This method should be called to aggregate a post array of searches
fn post_multi_search(&self, aggregate: MultiSearchAggregator);
@ -126,4 +117,10 @@ pub trait Analytics: Sync + Send {
index_creation: bool,
request: &HttpRequest,
);
// this method should be called to aggregate the get tasks requests.
fn get_tasks(&self, query: &TasksFilterQuery, request: &HttpRequest);
// this method should be called to aggregate a add documents request
fn health_seen(&self, request: &HttpRequest);
}

View File

@ -33,12 +33,12 @@ use crate::option::{
};
use crate::routes::indexes::documents::UpdateDocumentsQuery;
use crate::routes::indexes::facet_search::FacetSearchQuery;
use crate::routes::tasks::TasksFilterQuery;
use crate::routes::{create_all_stats, Stats};
use crate::search::{
FacetSearchResult, MatchingStrategy, SearchQuery, SearchQueryWithIndex, SearchResult,
SimilarQuery, SimilarResult, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER,
DEFAULT_HIGHLIGHT_POST_TAG, DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT,
DEFAULT_SEMANTIC_RATIO,
DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEMANTIC_RATIO,
};
use crate::Opt;
@ -74,8 +74,6 @@ pub enum AnalyticsMsg {
BatchMessage(Track),
AggregateGetSearch(SearchAggregator),
AggregatePostSearch(SearchAggregator),
AggregateGetSimilar(SimilarAggregator),
AggregatePostSimilar(SimilarAggregator),
AggregatePostMultiSearch(MultiSearchAggregator),
AggregatePostFacetSearch(FacetSearchAggregator),
AggregateAddDocuments(DocumentsAggregator),
@ -83,6 +81,8 @@ pub enum AnalyticsMsg {
AggregateUpdateDocuments(DocumentsAggregator),
AggregateGetFetchDocuments(DocumentsFetchAggregator),
AggregatePostFetchDocuments(DocumentsFetchAggregator),
AggregateTasks(TasksAggregator),
AggregateHealth(HealthAggregator),
}
pub struct SegmentAnalytics {
@ -152,8 +152,8 @@ impl SegmentAnalytics {
update_documents_aggregator: DocumentsAggregator::default(),
get_fetch_documents_aggregator: DocumentsFetchAggregator::default(),
post_fetch_documents_aggregator: DocumentsFetchAggregator::default(),
get_similar_aggregator: SimilarAggregator::default(),
post_similar_aggregator: SimilarAggregator::default(),
get_tasks_aggregator: TasksAggregator::default(),
health_aggregator: HealthAggregator::default(),
});
tokio::spawn(segment.run(index_scheduler.clone(), auth_controller.clone()));
@ -189,14 +189,6 @@ impl super::Analytics for SegmentAnalytics {
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostSearch(aggregate));
}
fn get_similar(&self, aggregate: SimilarAggregator) {
let _ = self.sender.try_send(AnalyticsMsg::AggregateGetSimilar(aggregate));
}
fn post_similar(&self, aggregate: SimilarAggregator) {
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostSimilar(aggregate));
}
fn post_facet_search(&self, aggregate: FacetSearchAggregator) {
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostFacetSearch(aggregate));
}
@ -239,6 +231,16 @@ impl super::Analytics for SegmentAnalytics {
let aggregate = DocumentsFetchAggregator::from_query(documents_query, request);
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostFetchDocuments(aggregate));
}
fn get_tasks(&self, query: &TasksFilterQuery, request: &HttpRequest) {
let aggregate = TasksAggregator::from_query(query, request);
let _ = self.sender.try_send(AnalyticsMsg::AggregateTasks(aggregate));
}
fn health_seen(&self, request: &HttpRequest) {
let aggregate = HealthAggregator::from_query(request);
let _ = self.sender.try_send(AnalyticsMsg::AggregateHealth(aggregate));
}
}
/// This structure represent the `infos` field we send in the analytics.
@ -392,8 +394,8 @@ pub struct Segment {
update_documents_aggregator: DocumentsAggregator,
get_fetch_documents_aggregator: DocumentsFetchAggregator,
post_fetch_documents_aggregator: DocumentsFetchAggregator,
get_similar_aggregator: SimilarAggregator,
post_similar_aggregator: SimilarAggregator,
get_tasks_aggregator: TasksAggregator,
health_aggregator: HealthAggregator,
}
impl Segment {
@ -456,8 +458,8 @@ impl Segment {
Some(AnalyticsMsg::AggregateUpdateDocuments(agreg)) => self.update_documents_aggregator.aggregate(agreg),
Some(AnalyticsMsg::AggregateGetFetchDocuments(agreg)) => self.get_fetch_documents_aggregator.aggregate(agreg),
Some(AnalyticsMsg::AggregatePostFetchDocuments(agreg)) => self.post_fetch_documents_aggregator.aggregate(agreg),
Some(AnalyticsMsg::AggregateGetSimilar(agreg)) => self.get_similar_aggregator.aggregate(agreg),
Some(AnalyticsMsg::AggregatePostSimilar(agreg)) => self.post_similar_aggregator.aggregate(agreg),
Some(AnalyticsMsg::AggregateTasks(agreg)) => self.get_tasks_aggregator.aggregate(agreg),
Some(AnalyticsMsg::AggregateHealth(agreg)) => self.health_aggregator.aggregate(agreg),
None => (),
}
}
@ -511,8 +513,8 @@ impl Segment {
update_documents_aggregator,
get_fetch_documents_aggregator,
post_fetch_documents_aggregator,
get_similar_aggregator,
post_similar_aggregator,
get_tasks_aggregator,
health_aggregator,
} = self;
if let Some(get_search) =
@ -560,17 +562,11 @@ impl Segment {
{
let _ = self.batcher.push(post_fetch_documents).await;
}
if let Some(get_similar_documents) =
take(get_similar_aggregator).into_event(user, "Similar GET")
{
let _ = self.batcher.push(get_similar_documents).await;
if let Some(get_tasks) = take(get_tasks_aggregator).into_event(user, "Tasks Seen") {
let _ = self.batcher.push(get_tasks).await;
}
if let Some(post_similar_documents) =
take(post_similar_aggregator).into_event(user, "Similar POST")
{
let _ = self.batcher.push(post_similar_documents).await;
if let Some(health) = take(health_aggregator).into_event(user, "Health Seen") {
let _ = self.batcher.push(health).await;
}
let _ = self.batcher.flush().await;
}
@ -597,9 +593,6 @@ pub struct SearchAggregator {
// every time a request has a filter, this field must be incremented by one
sort_total_number_of_criteria: usize,
// distinct
distinct: bool,
// filter
filter_with_geo_radius: bool,
filter_with_geo_bounding_box: bool,
@ -625,7 +618,6 @@ pub struct SearchAggregator {
// Whether a non-default embedder was specified
embedder: bool,
hybrid: bool,
retrieve_vectors: bool,
// every time a search is done, we increment the counter linked to the used settings
matching_strategy: HashMap<String, usize>,
@ -652,7 +644,6 @@ pub struct SearchAggregator {
// scoring
show_ranking_score: bool,
show_ranking_score_details: bool,
ranking_score_threshold: bool,
}
impl SearchAggregator {
@ -666,7 +657,6 @@ impl SearchAggregator {
page,
hits_per_page,
attributes_to_retrieve: _,
retrieve_vectors,
attributes_to_crop: _,
crop_length,
attributes_to_highlight: _,
@ -675,7 +665,6 @@ impl SearchAggregator {
show_ranking_score_details,
filter,
sort,
distinct,
facets: _,
highlight_pre_tag,
highlight_post_tag,
@ -683,7 +672,6 @@ impl SearchAggregator {
matching_strategy,
attributes_to_search_on,
hybrid,
ranking_score_threshold,
} = query;
let mut ret = Self::default();
@ -698,8 +686,6 @@ impl SearchAggregator {
ret.sort_sum_of_criteria_terms = sort.len();
}
ret.distinct = distinct.is_some();
if let Some(ref filter) = filter {
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
ret.filter_total_number_of_criteria = 1;
@ -736,7 +722,6 @@ impl SearchAggregator {
if let Some(ref vector) = vector {
ret.max_vector_size = vector.len();
}
ret.retrieve_vectors |= retrieve_vectors;
if query.is_finite_pagination() {
let limit = hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
@ -759,7 +744,6 @@ impl SearchAggregator {
ret.show_ranking_score = *show_ranking_score;
ret.show_ranking_score_details = *show_ranking_score_details;
ret.ranking_score_threshold = ranking_score_threshold.is_some();
if let Some(hybrid) = hybrid {
ret.semantic_ratio = hybrid.semantic_ratio != DEFAULT_SEMANTIC_RATIO();
@ -804,7 +788,6 @@ impl SearchAggregator {
sort_with_geo_point,
sort_sum_of_criteria_terms,
sort_total_number_of_criteria,
distinct,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
@ -813,7 +796,6 @@ impl SearchAggregator {
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
retrieve_vectors,
matching_strategy,
max_limit,
max_offset,
@ -835,7 +817,6 @@ impl SearchAggregator {
hybrid,
total_degraded,
total_used_negative_operator,
ranking_score_threshold,
} = other;
if self.timestamp.is_none() {
@ -862,9 +843,6 @@ impl SearchAggregator {
self.sort_total_number_of_criteria =
self.sort_total_number_of_criteria.saturating_add(sort_total_number_of_criteria);
// distinct
self.distinct |= distinct;
// filter
self.filter_with_geo_radius |= filter_with_geo_radius;
self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
@ -887,7 +865,6 @@ impl SearchAggregator {
// vector
self.max_vector_size = self.max_vector_size.max(max_vector_size);
self.retrieve_vectors |= retrieve_vectors;
self.semantic_ratio |= semantic_ratio;
self.hybrid |= hybrid;
self.embedder |= embedder;
@ -923,7 +900,6 @@ impl SearchAggregator {
// scoring
self.show_ranking_score |= show_ranking_score;
self.show_ranking_score_details |= show_ranking_score_details;
self.ranking_score_threshold |= ranking_score_threshold;
}
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
@ -936,7 +912,6 @@ impl SearchAggregator {
sort_with_geo_point,
sort_sum_of_criteria_terms,
sort_total_number_of_criteria,
distinct,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
@ -945,7 +920,6 @@ impl SearchAggregator {
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
retrieve_vectors,
matching_strategy,
max_limit,
max_offset,
@ -967,7 +941,6 @@ impl SearchAggregator {
hybrid,
total_degraded,
total_used_negative_operator,
ranking_score_threshold,
} = self;
if total_received == 0 {
@ -994,7 +967,6 @@ impl SearchAggregator {
"with_geoPoint": sort_with_geo_point,
"avg_criteria_number": format!("{:.2}", sort_sum_of_criteria_terms as f64 / sort_total_number_of_criteria as f64),
},
"distinct": distinct,
"filter": {
"with_geoRadius": filter_with_geo_radius,
"with_geoBoundingBox": filter_with_geo_bounding_box,
@ -1009,7 +981,6 @@ impl SearchAggregator {
},
"vector": {
"max_vector_size": max_vector_size,
"retrieve_vectors": retrieve_vectors,
},
"hybrid": {
"enabled": hybrid,
@ -1040,7 +1011,6 @@ impl SearchAggregator {
"scoring": {
"show_ranking_score": show_ranking_score,
"show_ranking_score_details": show_ranking_score_details,
"ranking_score_threshold": ranking_score_threshold,
},
});
@ -1098,7 +1068,6 @@ impl MultiSearchAggregator {
page: _,
hits_per_page: _,
attributes_to_retrieve: _,
retrieve_vectors: _,
attributes_to_crop: _,
crop_length: _,
attributes_to_highlight: _,
@ -1107,7 +1076,6 @@ impl MultiSearchAggregator {
show_matches_position: _,
filter: _,
sort: _,
distinct: _,
facets: _,
highlight_pre_tag: _,
highlight_post_tag: _,
@ -1115,7 +1083,6 @@ impl MultiSearchAggregator {
matching_strategy: _,
attributes_to_search_on: _,
hybrid: _,
ranking_score_threshold: _,
} = query;
index_uid.as_str()
@ -1263,7 +1230,6 @@ impl FacetSearchAggregator {
matching_strategy,
attributes_to_search_on,
hybrid,
ranking_score_threshold,
} = query;
let mut ret = Self::default();
@ -1278,8 +1244,7 @@ impl FacetSearchAggregator {
|| filter.is_some()
|| *matching_strategy != MatchingStrategy::default()
|| attributes_to_search_on.is_some()
|| hybrid.is_some()
|| ranking_score_threshold.is_some();
|| hybrid.is_some();
ret
}
@ -1539,7 +1504,7 @@ impl DocumentsDeletionAggregator {
}
#[derive(Default, Serialize)]
pub struct DocumentsFetchAggregator {
pub struct TasksAggregator {
#[serde(skip)]
timestamp: Option<OffsetDateTime>,
@ -1547,72 +1512,98 @@ pub struct DocumentsFetchAggregator {
#[serde(rename = "user-agent")]
user_agents: HashSet<String>,
#[serde(rename = "requests.total_received")]
filtered_by_uid: bool,
filtered_by_index_uid: bool,
filtered_by_type: bool,
filtered_by_status: bool,
filtered_by_canceled_by: bool,
filtered_by_before_enqueued_at: bool,
filtered_by_after_enqueued_at: bool,
filtered_by_before_started_at: bool,
filtered_by_after_started_at: bool,
filtered_by_before_finished_at: bool,
filtered_by_after_finished_at: bool,
total_received: usize,
// a call on ../documents/:doc_id
per_document_id: bool,
// if a filter was used
per_filter: bool,
#[serde(rename = "vector.retrieve_vectors")]
retrieve_vectors: bool,
// pagination
#[serde(rename = "pagination.max_limit")]
max_limit: usize,
#[serde(rename = "pagination.max_offset")]
max_offset: usize,
}
impl DocumentsFetchAggregator {
pub fn from_query(query: &DocumentFetchKind, request: &HttpRequest) -> Self {
let (limit, offset, retrieve_vectors) = match query {
DocumentFetchKind::PerDocumentId { retrieve_vectors } => (1, 0, *retrieve_vectors),
DocumentFetchKind::Normal { limit, offset, retrieve_vectors, .. } => {
(*limit, *offset, *retrieve_vectors)
}
};
impl TasksAggregator {
pub fn from_query(query: &TasksFilterQuery, request: &HttpRequest) -> Self {
let TasksFilterQuery {
limit: _,
from: _,
uids,
index_uids,
types,
statuses,
canceled_by,
before_enqueued_at,
after_enqueued_at,
before_started_at,
after_started_at,
before_finished_at,
after_finished_at,
} = query;
Self {
timestamp: Some(OffsetDateTime::now_utc()),
user_agents: extract_user_agents(request).into_iter().collect(),
filtered_by_uid: uids.is_some(),
filtered_by_index_uid: index_uids.is_some(),
filtered_by_type: types.is_some(),
filtered_by_status: statuses.is_some(),
filtered_by_canceled_by: canceled_by.is_some(),
filtered_by_before_enqueued_at: before_enqueued_at.is_some(),
filtered_by_after_enqueued_at: after_enqueued_at.is_some(),
filtered_by_before_started_at: before_started_at.is_some(),
filtered_by_after_started_at: after_started_at.is_some(),
filtered_by_before_finished_at: before_finished_at.is_some(),
filtered_by_after_finished_at: after_finished_at.is_some(),
total_received: 1,
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId { .. }),
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
max_limit: limit,
max_offset: offset,
retrieve_vectors,
}
}
/// Aggregate one [DocumentsFetchAggregator] into another.
/// Aggregate one [TasksAggregator] into another.
pub fn aggregate(&mut self, other: Self) {
let Self {
timestamp,
user_agents,
total_received,
per_document_id,
per_filter,
max_limit,
max_offset,
retrieve_vectors,
filtered_by_uid,
filtered_by_index_uid,
filtered_by_type,
filtered_by_status,
filtered_by_canceled_by,
filtered_by_before_enqueued_at,
filtered_by_after_enqueued_at,
filtered_by_before_started_at,
filtered_by_after_started_at,
filtered_by_before_finished_at,
filtered_by_after_finished_at,
} = other;
if self.timestamp.is_none() {
self.timestamp = timestamp;
}
// we can't create a union because there is no `into_union` method
for user_agent in user_agents {
self.user_agents.insert(user_agent);
}
self.filtered_by_uid |= filtered_by_uid;
self.filtered_by_index_uid |= filtered_by_index_uid;
self.filtered_by_type |= filtered_by_type;
self.filtered_by_status |= filtered_by_status;
self.filtered_by_canceled_by |= filtered_by_canceled_by;
self.filtered_by_before_enqueued_at |= filtered_by_before_enqueued_at;
self.filtered_by_after_enqueued_at |= filtered_by_after_enqueued_at;
self.filtered_by_before_started_at |= filtered_by_before_started_at;
self.filtered_by_after_started_at |= filtered_by_after_started_at;
self.filtered_by_before_finished_at |= filtered_by_before_finished_at;
self.filtered_by_after_finished_at |= filtered_by_after_finished_at;
self.filtered_by_after_finished_at |= filtered_by_after_finished_at;
self.total_received = self.total_received.saturating_add(total_received);
self.per_document_id |= per_document_id;
self.per_filter |= per_filter;
self.max_limit = self.max_limit.max(max_limit);
self.max_offset = self.max_offset.max(max_offset);
self.retrieve_vectors |= retrieve_vectors;
}
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
@ -1630,250 +1621,137 @@ impl DocumentsFetchAggregator {
}
}
#[derive(Default)]
pub struct SimilarAggregator {
#[derive(Default, Serialize)]
pub struct HealthAggregator {
#[serde(skip)]
timestamp: Option<OffsetDateTime>,
// context
#[serde(rename = "user-agent")]
user_agents: HashSet<String>,
// requests
#[serde(rename = "requests.total_received")]
total_received: usize,
total_succeeded: usize,
time_spent: BinaryHeap<usize>,
// filter
filter_with_geo_radius: bool,
filter_with_geo_bounding_box: bool,
// every time a request has a filter, this field must be incremented by the number of terms it contains
filter_sum_of_criteria_terms: usize,
// every time a request has a filter, this field must be incremented by one
filter_total_number_of_criteria: usize,
used_syntax: HashMap<String, usize>,
// Whether a non-default embedder was specified
embedder: bool,
retrieve_vectors: bool,
// pagination
max_limit: usize,
max_offset: usize,
// formatting
max_attributes_to_retrieve: usize,
// scoring
show_ranking_score: bool,
show_ranking_score_details: bool,
ranking_score_threshold: bool,
}
impl SimilarAggregator {
#[allow(clippy::field_reassign_with_default)]
pub fn from_query(query: &SimilarQuery, request: &HttpRequest) -> Self {
let SimilarQuery {
id: _,
embedder,
offset,
limit,
attributes_to_retrieve: _,
retrieve_vectors,
show_ranking_score,
show_ranking_score_details,
filter,
ranking_score_threshold,
} = query;
let mut ret = Self::default();
ret.timestamp = Some(OffsetDateTime::now_utc());
ret.total_received = 1;
ret.user_agents = extract_user_agents(request).into_iter().collect();
if let Some(ref filter) = filter {
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
ret.filter_total_number_of_criteria = 1;
let syntax = match filter {
Value::String(_) => "string".to_string(),
Value::Array(values) => {
if values.iter().map(|v| v.to_string()).any(|s| RE.is_match(&s)) {
"mixed".to_string()
} else {
"array".to_string()
}
}
_ => "none".to_string(),
};
// convert the string to a HashMap
ret.used_syntax.insert(syntax, 1);
let stringified_filters = filter.to_string();
ret.filter_with_geo_radius = stringified_filters.contains("_geoRadius(");
ret.filter_with_geo_bounding_box = stringified_filters.contains("_geoBoundingBox(");
ret.filter_sum_of_criteria_terms = RE.split(&stringified_filters).count();
impl HealthAggregator {
pub fn from_query(request: &HttpRequest) -> Self {
Self {
timestamp: Some(OffsetDateTime::now_utc()),
user_agents: extract_user_agents(request).into_iter().collect(),
total_received: 1,
}
ret.max_limit = *limit;
ret.max_offset = *offset;
ret.show_ranking_score = *show_ranking_score;
ret.show_ranking_score_details = *show_ranking_score_details;
ret.ranking_score_threshold = ranking_score_threshold.is_some();
ret.embedder = embedder.is_some();
ret.retrieve_vectors = *retrieve_vectors;
ret
}
pub fn succeed(&mut self, result: &SimilarResult) {
let SimilarResult { id: _, hits: _, processing_time_ms, hits_info: _ } = result;
self.total_succeeded = self.total_succeeded.saturating_add(1);
self.time_spent.push(*processing_time_ms as usize);
}
/// Aggregate one [SimilarAggregator] into another.
pub fn aggregate(&mut self, mut other: Self) {
let Self {
timestamp,
user_agents,
total_received,
total_succeeded,
ref mut time_spent,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
max_limit,
max_offset,
max_attributes_to_retrieve,
show_ranking_score,
show_ranking_score_details,
embedder,
ranking_score_threshold,
retrieve_vectors,
} = other;
/// Aggregate one [HealthAggregator] into another.
pub fn aggregate(&mut self, other: Self) {
let Self { timestamp, user_agents, total_received } = other;
if self.timestamp.is_none() {
self.timestamp = timestamp;
}
// context
for user_agent in user_agents.into_iter() {
// we can't create a union because there is no `into_union` method
for user_agent in user_agents {
self.user_agents.insert(user_agent);
}
// request
self.total_received = self.total_received.saturating_add(total_received);
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
self.time_spent.append(time_spent);
// filter
self.filter_with_geo_radius |= filter_with_geo_radius;
self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
self.filter_sum_of_criteria_terms =
self.filter_sum_of_criteria_terms.saturating_add(filter_sum_of_criteria_terms);
self.filter_total_number_of_criteria =
self.filter_total_number_of_criteria.saturating_add(filter_total_number_of_criteria);
for (key, value) in used_syntax.into_iter() {
let used_syntax = self.used_syntax.entry(key).or_insert(0);
*used_syntax = used_syntax.saturating_add(value);
}
self.embedder |= embedder;
self.retrieve_vectors |= retrieve_vectors;
// pagination
self.max_limit = self.max_limit.max(max_limit);
self.max_offset = self.max_offset.max(max_offset);
// formatting
self.max_attributes_to_retrieve =
self.max_attributes_to_retrieve.max(max_attributes_to_retrieve);
// scoring
self.show_ranking_score |= show_ranking_score;
self.show_ranking_score_details |= show_ranking_score_details;
self.ranking_score_threshold |= ranking_score_threshold;
}
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
// if we had no timestamp it means we never encountered any events and
// thus we don't need to send this event.
let timestamp = self.timestamp?;
Some(Track {
timestamp: Some(timestamp),
user: user.clone(),
event: event_name.to_string(),
properties: serde_json::to_value(self).ok()?,
..Default::default()
})
}
}
#[derive(Default, Serialize)]
pub struct DocumentsFetchAggregator {
#[serde(skip)]
timestamp: Option<OffsetDateTime>,
// context
#[serde(rename = "user-agent")]
user_agents: HashSet<String>,
#[serde(rename = "requests.total_received")]
total_received: usize,
// a call on ../documents/:doc_id
per_document_id: bool,
// if a filter was used
per_filter: bool,
// pagination
#[serde(rename = "pagination.max_limit")]
max_limit: usize,
#[serde(rename = "pagination.max_offset")]
max_offset: usize,
}
impl DocumentsFetchAggregator {
pub fn from_query(query: &DocumentFetchKind, request: &HttpRequest) -> Self {
let (limit, offset) = match query {
DocumentFetchKind::PerDocumentId => (1, 0),
DocumentFetchKind::Normal { limit, offset, .. } => (*limit, *offset),
};
Self {
timestamp: Some(OffsetDateTime::now_utc()),
user_agents: extract_user_agents(request).into_iter().collect(),
total_received: 1,
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId),
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
max_limit: limit,
max_offset: offset,
}
}
/// Aggregate one [DocumentsFetchAggregator] into another.
pub fn aggregate(&mut self, other: Self) {
let Self {
timestamp,
user_agents,
total_received,
total_succeeded,
time_spent,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
per_document_id,
per_filter,
max_limit,
max_offset,
max_attributes_to_retrieve,
show_ranking_score,
show_ranking_score_details,
embedder,
ranking_score_threshold,
retrieve_vectors,
} = self;
} = other;
if total_received == 0 {
None
} else {
// we get all the values in a sorted manner
let time_spent = time_spent.into_sorted_vec();
// the index of the 99th percentage of value
let percentile_99th = time_spent.len() * 99 / 100;
// We are only interested by the slowest value of the 99th fastest results
let time_spent = time_spent.get(percentile_99th);
let properties = json!({
"user-agent": user_agents,
"requests": {
"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
"total_succeeded": total_succeeded,
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
"total_received": total_received,
},
"filter": {
"with_geoRadius": filter_with_geo_radius,
"with_geoBoundingBox": filter_with_geo_bounding_box,
"avg_criteria_number": format!("{:.2}", filter_sum_of_criteria_terms as f64 / filter_total_number_of_criteria as f64),
"most_used_syntax": used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
},
"vector": {
"retrieve_vectors": retrieve_vectors,
},
"hybrid": {
"embedder": embedder,
},
"pagination": {
"max_limit": max_limit,
"max_offset": max_offset,
},
"formatting": {
"max_attributes_to_retrieve": max_attributes_to_retrieve,
},
"scoring": {
"show_ranking_score": show_ranking_score,
"show_ranking_score_details": show_ranking_score_details,
"ranking_score_threshold": ranking_score_threshold,
},
});
Some(Track {
timestamp,
user: user.clone(),
event: event_name.to_string(),
properties,
..Default::default()
})
if self.timestamp.is_none() {
self.timestamp = timestamp;
}
for user_agent in user_agents {
self.user_agents.insert(user_agent);
}
self.total_received = self.total_received.saturating_add(total_received);
self.per_document_id |= per_document_id;
self.per_filter |= per_filter;
self.max_limit = self.max_limit.max(max_limit);
self.max_offset = self.max_offset.max(max_offset);
}
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
// if we had no timestamp it means we never encountered any events and
// thus we don't need to send this event.
let timestamp = self.timestamp?;
Some(Track {
timestamp: Some(timestamp),
user: user.clone(),
event: event_name.to_string(),
properties: serde_json::to_value(self).ok()?,
..Default::default()
})
}
}

View File

@ -23,6 +23,8 @@ pub enum MeilisearchHttpError {
InvalidContentType(String, Vec<String>),
#[error("Document `{0}` not found.")]
DocumentNotFound(String),
#[error("Document `{0}` not found.")]
InvalidDocumentId(String),
#[error("Sending an empty filter is forbidden.")]
EmptyFilter,
#[error("Invalid syntax for the filter parameter: `expected {}, found: {1}`.", .0.join(", "))]
@ -59,6 +61,10 @@ pub enum MeilisearchHttpError {
Join(#[from] JoinError),
#[error("Invalid request: missing `hybrid` parameter when both `q` and `vector` are present.")]
MissingSearchHybrid,
#[error("Invalid request: `prompt` parameter is required when `context` is present.")]
RecommendMissingPrompt,
#[error("Invalid request: one of the `prompt` or `id` parameters is required.")]
RecommendMissingPromptOrId,
}
impl ErrorCode for MeilisearchHttpError {
@ -70,6 +76,7 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::MissingPayload(_) => Code::MissingPayload,
MeilisearchHttpError::InvalidContentType(_, _) => Code::InvalidContentType,
MeilisearchHttpError::DocumentNotFound(_) => Code::DocumentNotFound,
MeilisearchHttpError::InvalidDocumentId(_) => Code::InvalidDocumentId,
MeilisearchHttpError::EmptyFilter => Code::InvalidDocumentFilter,
MeilisearchHttpError::InvalidExpression(_, _) => Code::InvalidSearchFilter,
MeilisearchHttpError::PayloadTooLarge(_) => Code::PayloadTooLarge,
@ -86,6 +93,8 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
MeilisearchHttpError::Join(_) => Code::Internal,
MeilisearchHttpError::MissingSearchHybrid => Code::MissingSearchHybrid,
MeilisearchHttpError::RecommendMissingPrompt => Code::MissingPrompt,
MeilisearchHttpError::RecommendMissingPromptOrId => Code::MissingPromptOrId,
}
}
}
@ -98,29 +107,14 @@ impl From<MeilisearchHttpError> for aweb::Error {
impl From<aweb::error::PayloadError> for MeilisearchHttpError {
fn from(error: aweb::error::PayloadError) -> Self {
match error {
aweb::error::PayloadError::Incomplete(_) => MeilisearchHttpError::Payload(
PayloadError::Payload(ActixPayloadError::IncompleteError),
),
_ => MeilisearchHttpError::Payload(PayloadError::Payload(
ActixPayloadError::OtherError(error),
)),
}
MeilisearchHttpError::Payload(PayloadError::Payload(error))
}
}
#[derive(Debug, thiserror::Error)]
pub enum ActixPayloadError {
#[error("The provided payload is incomplete and cannot be parsed")]
IncompleteError,
#[error(transparent)]
OtherError(aweb::error::PayloadError),
}
#[derive(Debug, thiserror::Error)]
pub enum PayloadError {
#[error(transparent)]
Payload(ActixPayloadError),
Payload(aweb::error::PayloadError),
#[error(transparent)]
Json(JsonPayloadError),
#[error(transparent)]
@ -137,15 +131,13 @@ impl ErrorCode for PayloadError {
fn error_code(&self) -> Code {
match self {
PayloadError::Payload(e) => match e {
ActixPayloadError::IncompleteError => Code::BadRequest,
ActixPayloadError::OtherError(error) => match error {
aweb::error::PayloadError::EncodingCorrupted => Code::Internal,
aweb::error::PayloadError::Overflow => Code::PayloadTooLarge,
aweb::error::PayloadError::UnknownLength => Code::Internal,
aweb::error::PayloadError::Http2Payload(_) => Code::Internal,
aweb::error::PayloadError::Io(_) => Code::Internal,
_ => todo!(),
},
aweb::error::PayloadError::Incomplete(_) => Code::Internal,
aweb::error::PayloadError::EncodingCorrupted => Code::Internal,
aweb::error::PayloadError::Overflow => Code::PayloadTooLarge,
aweb::error::PayloadError::UnknownLength => Code::Internal,
aweb::error::PayloadError::Http2Payload(_) => Code::Internal,
aweb::error::PayloadError::Io(_) => Code::Internal,
_ => todo!(),
},
PayloadError::Json(err) => match err {
JsonPayloadError::Overflow { .. } => Code::PayloadTooLarge,

View File

@ -12,8 +12,6 @@ use futures::Future;
use meilisearch_auth::{AuthController, AuthFilter};
use meilisearch_types::error::{Code, ResponseError};
use self::policies::AuthError;
pub struct GuardedData<P, D> {
data: D,
filters: AuthFilter,
@ -37,12 +35,12 @@ impl<P, D> GuardedData<P, D> {
let missing_master_key = auth.get_master_key().is_none();
match Self::authenticate(auth, token, index).await? {
Ok(filters) => match data {
Some(filters) => match data {
Some(data) => Ok(Self { data, filters, _marker: PhantomData }),
None => Err(AuthenticationError::IrretrievableState.into()),
},
Err(_) if missing_master_key => Err(AuthenticationError::MissingMasterKey.into()),
Err(e) => Err(ResponseError::from_msg(e.to_string(), Code::InvalidApiKey)),
None if missing_master_key => Err(AuthenticationError::MissingMasterKey.into()),
None => Err(AuthenticationError::InvalidToken.into()),
}
}
@ -53,12 +51,12 @@ impl<P, D> GuardedData<P, D> {
let missing_master_key = auth.get_master_key().is_none();
match Self::authenticate(auth, String::new(), None).await? {
Ok(filters) => match data {
Some(filters) => match data {
Some(data) => Ok(Self { data, filters, _marker: PhantomData }),
None => Err(AuthenticationError::IrretrievableState.into()),
},
Err(_) if missing_master_key => Err(AuthenticationError::MissingMasterKey.into()),
Err(_) => Err(AuthenticationError::MissingAuthorizationHeader.into()),
None if missing_master_key => Err(AuthenticationError::MissingMasterKey.into()),
None => Err(AuthenticationError::MissingAuthorizationHeader.into()),
}
}
@ -66,7 +64,7 @@ impl<P, D> GuardedData<P, D> {
auth: Data<AuthController>,
token: String,
index: Option<String>,
) -> Result<Result<AuthFilter, AuthError>, ResponseError>
) -> Result<Option<AuthFilter>, ResponseError>
where
P: Policy + 'static,
{
@ -129,14 +127,13 @@ pub trait Policy {
auth: Data<AuthController>,
token: &str,
index: Option<&str>,
) -> Result<AuthFilter, policies::AuthError>;
) -> Option<AuthFilter>;
}
pub mod policies {
use actix_web::web::Data;
use jsonwebtoken::{decode, Algorithm, DecodingKey, Validation};
use meilisearch_auth::{AuthController, AuthFilter, SearchRules};
use meilisearch_types::error::{Code, ErrorCode};
// reexport actions in policies in order to be used in routes configuration.
pub use meilisearch_types::keys::{actions, Action};
use serde::{Deserialize, Serialize};
@ -147,53 +144,11 @@ pub mod policies {
enum TenantTokenOutcome {
NotATenantToken,
Invalid,
Expired,
Valid(Uuid, SearchRules),
}
#[derive(thiserror::Error, Debug)]
pub enum AuthError {
#[error("Tenant token expired. Was valid up to `{exp}` and we're now `{now}`.")]
ExpiredTenantToken { exp: i64, now: i64 },
#[error("The provided API key is invalid.")]
InvalidApiKey,
#[error("The provided tenant token cannot acces the index `{index}`, allowed indexes are {allowed:?}.")]
TenantTokenAccessingnUnauthorizedIndex { index: String, allowed: Vec<String> },
#[error(
"The API key used to generate this tenant token cannot acces the index `{index}`."
)]
TenantTokenApiKeyAccessingnUnauthorizedIndex { index: String },
#[error(
"The API key cannot acces the index `{index}`, authorized indexes are {allowed:?}."
)]
ApiKeyAccessingnUnauthorizedIndex { index: String, allowed: Vec<String> },
#[error("The provided tenant token is invalid.")]
InvalidTenantToken,
#[error("Could not decode tenant token, {0}.")]
CouldNotDecodeTenantToken(jsonwebtoken::errors::Error),
#[error("Invalid action `{0}`.")]
InternalInvalidAction(u8),
}
impl From<jsonwebtoken::errors::Error> for AuthError {
fn from(error: jsonwebtoken::errors::Error) -> Self {
use jsonwebtoken::errors::ErrorKind;
match error.kind() {
ErrorKind::InvalidToken => AuthError::InvalidTenantToken,
_ => AuthError::CouldNotDecodeTenantToken(error),
}
}
}
impl ErrorCode for AuthError {
fn error_code(&self) -> Code {
match self {
AuthError::InternalInvalidAction(_) => Code::Internal,
_ => Code::InvalidApiKey,
}
}
}
fn tenant_token_validation() -> Validation {
let mut validation = Validation::default();
validation.validate_exp = false;
@ -203,15 +158,15 @@ pub mod policies {
}
/// Extracts the key id used to sign the payload, without performing any validation.
fn extract_key_id(token: &str) -> Result<Uuid, AuthError> {
fn extract_key_id(token: &str) -> Option<Uuid> {
let mut validation = tenant_token_validation();
validation.insecure_disable_signature_validation();
let dummy_key = DecodingKey::from_secret(b"secret");
let token_data = decode::<Claims>(token, &dummy_key, &validation)?;
let token_data = decode::<Claims>(token, &dummy_key, &validation).ok()?;
// get token fields without validating it.
let Claims { api_key_uid, .. } = token_data.claims;
Ok(api_key_uid)
Some(api_key_uid)
}
fn is_keys_action(action: u8) -> bool {
@ -232,102 +187,76 @@ pub mod policies {
auth: Data<AuthController>,
token: &str,
index: Option<&str>,
) -> Result<AuthFilter, AuthError> {
) -> Option<AuthFilter> {
// authenticate if token is the master key.
// Without a master key, all routes are accessible except the key-related routes.
if auth.get_master_key().map_or_else(|| !is_keys_action(A), |mk| mk == token) {
return Ok(AuthFilter::default());
return Some(AuthFilter::default());
}
let (key_uuid, search_rules) =
match ActionPolicy::<A>::authenticate_tenant_token(&auth, token) {
Ok(TenantTokenOutcome::Valid(key_uuid, search_rules)) => {
TenantTokenOutcome::Valid(key_uuid, search_rules) => {
(key_uuid, Some(search_rules))
}
Ok(TenantTokenOutcome::NotATenantToken)
| Err(AuthError::InvalidTenantToken) => (
auth.get_optional_uid_from_encoded_key(token.as_bytes())
.map_err(|_e| AuthError::InvalidApiKey)?
.ok_or(AuthError::InvalidApiKey)?,
None,
),
Err(e) => return Err(e),
TenantTokenOutcome::Expired => return None,
TenantTokenOutcome::Invalid => return None,
TenantTokenOutcome::NotATenantToken => {
(auth.get_optional_uid_from_encoded_key(token.as_bytes()).ok()??, None)
}
};
// check that the indexes are allowed
let action = Action::from_repr(A).ok_or(AuthError::InternalInvalidAction(A))?;
let auth_filter = auth
.get_key_filters(key_uuid, search_rules)
.map_err(|_e| AuthError::InvalidApiKey)?;
// First check if the index is authorized in the tenant token, this is a public
// information, we can return a nice error message.
if let Some(index) = index {
if !auth_filter.tenant_token_is_index_authorized(index) {
return Err(AuthError::TenantTokenAccessingnUnauthorizedIndex {
index: index.to_string(),
allowed: auth_filter.tenant_token_list_index_authorized(),
});
}
if !auth_filter.api_key_is_index_authorized(index) {
if auth_filter.is_tenant_token() {
// If the error comes from a tenant token we cannot share the list
// of authorized indexes in the API key. This is not public information.
return Err(AuthError::TenantTokenApiKeyAccessingnUnauthorizedIndex {
index: index.to_string(),
});
} else {
// Otherwise we can share the list
// of authorized indexes in the API key.
return Err(AuthError::ApiKeyAccessingnUnauthorizedIndex {
index: index.to_string(),
allowed: auth_filter.api_key_list_index_authorized(),
});
}
}
}
if auth.is_key_authorized(key_uuid, action, index).unwrap_or(false) {
return Ok(auth_filter);
let action = Action::from_repr(A)?;
let auth_filter = auth.get_key_filters(key_uuid, search_rules).ok()?;
if auth.is_key_authorized(key_uuid, action, index).unwrap_or(false)
&& index.map(|index| auth_filter.is_index_authorized(index)).unwrap_or(true)
{
return Some(auth_filter);
}
Err(AuthError::InvalidApiKey)
None
}
}
impl<const A: u8> ActionPolicy<A> {
fn authenticate_tenant_token(
auth: &AuthController,
token: &str,
) -> Result<TenantTokenOutcome, AuthError> {
fn authenticate_tenant_token(auth: &AuthController, token: &str) -> TenantTokenOutcome {
// Only search action can be accessed by a tenant token.
if A != actions::SEARCH {
return Ok(TenantTokenOutcome::NotATenantToken);
return TenantTokenOutcome::NotATenantToken;
}
let uid = extract_key_id(token)?;
let uid = if let Some(uid) = extract_key_id(token) {
uid
} else {
return TenantTokenOutcome::NotATenantToken;
};
// Check if tenant token is valid.
let key = if let Some(key) = auth.generate_key(uid) {
key
} else {
return Err(AuthError::InvalidTenantToken);
return TenantTokenOutcome::Invalid;
};
let data = decode::<Claims>(
let data = if let Ok(data) = decode::<Claims>(
token,
&DecodingKey::from_secret(key.as_bytes()),
&tenant_token_validation(),
)?;
) {
data
} else {
return TenantTokenOutcome::Invalid;
};
// Check if token is expired.
if let Some(exp) = data.claims.exp {
let now = OffsetDateTime::now_utc().unix_timestamp();
if now > exp {
return Err(AuthError::ExpiredTenantToken { exp, now });
if OffsetDateTime::now_utc().unix_timestamp() > exp {
return TenantTokenOutcome::Expired;
}
}
Ok(TenantTokenOutcome::Valid(uid, data.claims.search_rules))
TenantTokenOutcome::Valid(uid, data.claims.search_rules)
}
}

View File

@ -59,12 +59,10 @@ where
let request_path = req.path();
let is_registered_resource = req.resource_map().has_resource(request_path);
if is_registered_resource {
let request_pattern = req.match_pattern();
let metric_path = request_pattern.as_ref().map_or(request_path, String::as_str);
let request_method = req.method().to_string();
histogram_timer = Some(
crate::metrics::MEILISEARCH_HTTP_RESPONSE_TIME_SECONDS
.with_label_values(&[&request_method, metric_path])
.with_label_values(&[&request_method, request_path])
.start_timer(),
);
}

View File

@ -13,7 +13,6 @@ use byte_unit::{Byte, ByteError};
use clap::Parser;
use meilisearch_types::features::InstanceTogglableFeatures;
use meilisearch_types::milli::update::IndexerConfig;
use meilisearch_types::milli::ThreadPoolNoAbortBuilder;
use rustls::server::{
AllowAnyAnonymousOrAuthenticatedClient, AllowAnyAuthenticatedClient, ServerSessionMemoryCache,
};
@ -667,7 +666,7 @@ impl TryFrom<&IndexerOpts> for IndexerConfig {
type Error = anyhow::Error;
fn try_from(other: &IndexerOpts) -> Result<Self, Self::Error> {
let thread_pool = ThreadPoolNoAbortBuilder::new()
let thread_pool = rayon::ThreadPoolBuilder::new()
.thread_name(|index| format!("indexing-thread:{index}"))
.num_threads(*other.max_indexing_threads)
.build()?;

View File

@ -47,6 +47,8 @@ pub struct RuntimeTogglableFeatures {
pub metrics: Option<bool>,
#[deserr(default)]
pub logs_route: Option<bool>,
#[deserr(default)]
pub export_puffin_reports: Option<bool>,
}
async fn patch_features(
@ -66,13 +68,21 @@ async fn patch_features(
vector_store: new_features.0.vector_store.unwrap_or(old_features.vector_store),
metrics: new_features.0.metrics.unwrap_or(old_features.metrics),
logs_route: new_features.0.logs_route.unwrap_or(old_features.logs_route),
export_puffin_reports: new_features
.0
.export_puffin_reports
.unwrap_or(old_features.export_puffin_reports),
};
// explicitly destructure for analytics rather than using the `Serialize` implementation, because
// the it renames to camelCase, which we don't want for analytics.
// **Do not** ignore fields with `..` or `_` here, because we want to add them in the future.
let meilisearch_types::features::RuntimeTogglableFeatures { vector_store, metrics, logs_route } =
new_features;
let meilisearch_types::features::RuntimeTogglableFeatures {
vector_store,
metrics,
logs_route,
export_puffin_reports,
} = new_features;
analytics.publish(
"Experimental features Updated".to_string(),
@ -80,6 +90,7 @@ async fn patch_features(
"vector_store": vector_store,
"metrics": metrics,
"logs_route": logs_route,
"export_puffin_reports": export_puffin_reports,
}),
Some(&req),
);

View File

@ -16,7 +16,6 @@ use meilisearch_types::error::{Code, ResponseError};
use meilisearch_types::heed::RoTxn;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::milli::update::IndexDocumentsMethod;
use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
use meilisearch_types::milli::DocumentId;
use meilisearch_types::star_or::OptionStarOrList;
use meilisearch_types::tasks::KindWithContent;
@ -40,7 +39,7 @@ use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::{
get_task_id, is_dry_run, PaginationView, SummarizedTaskView, PAGINATION_DEFAULT_LIMIT,
};
use crate::search::{parse_filter, RetrieveVectors};
use crate::search::parse_filter;
use crate::Opt;
static ACCEPTED_CONTENT_TYPE: Lazy<Vec<String>> = Lazy::new(|| {
@ -95,8 +94,6 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
pub struct GetDocument {
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFields>)]
fields: OptionStarOrList<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentRetrieveVectors>)]
retrieve_vectors: Param<bool>,
}
pub async fn get_document(
@ -110,20 +107,13 @@ pub async fn get_document(
debug!(parameters = ?params, "Get document");
let index_uid = IndexUid::try_from(index_uid)?;
let GetDocument { fields, retrieve_vectors: param_retrieve_vectors } = params.into_inner();
analytics.get_fetch_documents(&DocumentFetchKind::PerDocumentId, &req);
let GetDocument { fields } = params.into_inner();
let attributes_to_retrieve = fields.merge_star_and_none();
let features = index_scheduler.features();
let retrieve_vectors = RetrieveVectors::new(param_retrieve_vectors.0, features)?;
analytics.get_fetch_documents(
&DocumentFetchKind::PerDocumentId { retrieve_vectors: param_retrieve_vectors.0 },
&req,
);
let index = index_scheduler.index(&index_uid)?;
let document =
retrieve_document(&index, &document_id, attributes_to_retrieve, retrieve_vectors)?;
let document = retrieve_document(&index, &document_id, attributes_to_retrieve)?;
debug!(returns = ?document, "Get document");
Ok(HttpResponse::Ok().json(document))
}
@ -163,8 +153,6 @@ pub struct BrowseQueryGet {
limit: Param<usize>,
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFields>)]
fields: OptionStarOrList<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentRetrieveVectors>)]
retrieve_vectors: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFilter>)]
filter: Option<String>,
}
@ -178,8 +166,6 @@ pub struct BrowseQuery {
limit: usize,
#[deserr(default, error = DeserrJsonError<InvalidDocumentFields>)]
fields: Option<Vec<String>>,
#[deserr(default, error = DeserrJsonError<InvalidDocumentRetrieveVectors>)]
retrieve_vectors: bool,
#[deserr(default, error = DeserrJsonError<InvalidDocumentFilter>)]
filter: Option<Value>,
}
@ -199,7 +185,6 @@ pub async fn documents_by_query_post(
with_filter: body.filter.is_some(),
limit: body.limit,
offset: body.offset,
retrieve_vectors: body.retrieve_vectors,
},
&req,
);
@ -216,7 +201,7 @@ pub async fn get_documents(
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?params, "Get documents GET");
let BrowseQueryGet { limit, offset, fields, retrieve_vectors, filter } = params.into_inner();
let BrowseQueryGet { limit, offset, fields, filter } = params.into_inner();
let filter = match filter {
Some(f) => match serde_json::from_str(&f) {
@ -230,7 +215,6 @@ pub async fn get_documents(
offset: offset.0,
limit: limit.0,
fields: fields.merge_star_and_none(),
retrieve_vectors: retrieve_vectors.0,
filter,
};
@ -239,7 +223,6 @@ pub async fn get_documents(
with_filter: query.filter.is_some(),
limit: query.limit,
offset: query.offset,
retrieve_vectors: query.retrieve_vectors,
},
&req,
);
@ -253,14 +236,10 @@ fn documents_by_query(
query: BrowseQuery,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let BrowseQuery { offset, limit, fields, retrieve_vectors, filter } = query;
let features = index_scheduler.features();
let retrieve_vectors = RetrieveVectors::new(retrieve_vectors, features)?;
let BrowseQuery { offset, limit, fields, filter } = query;
let index = index_scheduler.index(&index_uid)?;
let (total, documents) =
retrieve_documents(&index, offset, limit, filter, fields, retrieve_vectors)?;
let (total, documents) = retrieve_documents(&index, offset, limit, filter, fields)?;
let ret = PaginationView::new(offset, limit, total as usize, documents);
@ -600,44 +579,13 @@ fn some_documents<'a, 't: 'a>(
index: &'a Index,
rtxn: &'t RoTxn,
doc_ids: impl IntoIterator<Item = DocumentId> + 'a,
retrieve_vectors: RetrieveVectors,
) -> Result<impl Iterator<Item = Result<Document, ResponseError>> + 'a, ResponseError> {
let fields_ids_map = index.fields_ids_map(rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let embedding_configs = index.embedding_configs(rtxn)?;
Ok(index.iter_documents(rtxn, doc_ids)?.map(move |ret| {
ret.map_err(ResponseError::from).and_then(|(key, document)| -> Result<_, ResponseError> {
let mut document = milli::obkv_to_json(&all_fields, &fields_ids_map, document)?;
match retrieve_vectors {
RetrieveVectors::Ignore => {}
RetrieveVectors::Hide => {
document.remove("_vectors");
}
RetrieveVectors::Retrieve => {
let mut vectors = match document.remove("_vectors") {
Some(Value::Object(map)) => map,
_ => Default::default(),
};
for (name, vector) in index.embeddings(rtxn, key)? {
let user_provided = embedding_configs
.iter()
.find(|conf| conf.name == name)
.is_some_and(|conf| conf.user_provided.contains(key));
let embeddings = ExplicitVectors {
embeddings: Some(vector.into()),
regenerate: !user_provided,
};
vectors.insert(
name,
serde_json::to_value(embeddings).map_err(MeilisearchHttpError::from)?,
);
}
document.insert("_vectors".into(), vectors.into());
}
}
Ok(document)
ret.map_err(ResponseError::from).and_then(|(_key, document)| -> Result<_, ResponseError> {
Ok(milli::obkv_to_json(&all_fields, &fields_ids_map, document)?)
})
}))
}
@ -648,7 +596,6 @@ fn retrieve_documents<S: AsRef<str>>(
limit: usize,
filter: Option<Value>,
attributes_to_retrieve: Option<Vec<S>>,
retrieve_vectors: RetrieveVectors,
) -> Result<(u64, Vec<Document>), ResponseError> {
let rtxn = index.read_txn()?;
let filter = &filter;
@ -673,57 +620,53 @@ fn retrieve_documents<S: AsRef<str>>(
let (it, number_of_documents) = {
let number_of_documents = candidates.len();
(
some_documents(
index,
&rtxn,
candidates.into_iter().skip(offset).take(limit),
retrieve_vectors,
)?,
some_documents(index, &rtxn, candidates.into_iter().skip(offset).take(limit))?,
number_of_documents,
)
};
let documents: Vec<_> = it
let documents: Result<Vec<_>, ResponseError> = it
.map(|document| {
Ok(match &attributes_to_retrieve {
Some(attributes_to_retrieve) => permissive_json_pointer::select_values(
&document?,
attributes_to_retrieve.iter().map(|s| s.as_ref()).chain(
(retrieve_vectors == RetrieveVectors::Retrieve).then_some("_vectors"),
),
attributes_to_retrieve.iter().map(|s| s.as_ref()),
),
None => document?,
})
})
.collect::<Result<_, ResponseError>>()?;
.collect();
Ok((number_of_documents, documents))
Ok((number_of_documents, documents?))
}
fn retrieve_document<S: AsRef<str>>(
index: &Index,
doc_id: &str,
attributes_to_retrieve: Option<Vec<S>>,
retrieve_vectors: RetrieveVectors,
) -> Result<Document, ResponseError> {
let txn = index.read_txn()?;
let fields_ids_map = index.fields_ids_map(&txn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let internal_id = index
.external_documents_ids()
.get(&txn, doc_id)?
.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(doc_id.to_string()))?;
let document = some_documents(index, &txn, Some(internal_id), retrieve_vectors)?
let document = index
.documents(&txn, std::iter::once(internal_id))?
.into_iter()
.next()
.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(doc_id.to_string()))??;
.map(|(_, d)| d)
.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(doc_id.to_string()))?;
let document = meilisearch_types::milli::obkv_to_json(&all_fields, &fields_ids_map, document)?;
let document = match &attributes_to_retrieve {
Some(attributes_to_retrieve) => permissive_json_pointer::select_values(
&document,
attributes_to_retrieve
.iter()
.map(|s| s.as_ref())
.chain((retrieve_vectors == RetrieveVectors::Retrieve).then_some("_vectors")),
attributes_to_retrieve.iter().map(|s| s.as_ref()),
),
None => document,
};

View File

@ -14,8 +14,8 @@ use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::routes::indexes::search::search_kind;
use crate::search::{
add_search_rules, perform_facet_search, HybridQuery, MatchingStrategy, RankingScoreThreshold,
SearchQuery, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
add_search_rules, perform_facet_search, HybridQuery, MatchingStrategy, SearchQuery,
DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET,
};
use crate::search_queue::SearchQueue;
@ -46,8 +46,6 @@ pub struct FacetSearchQuery {
pub matching_strategy: MatchingStrategy,
#[deserr(default, error = DeserrJsonError<InvalidSearchAttributesToSearchOn>, default)]
pub attributes_to_search_on: Option<Vec<String>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchRankingScoreThreshold>, default)]
pub ranking_score_threshold: Option<RankingScoreThreshold>,
}
pub async fn search(
@ -71,7 +69,7 @@ pub async fn search(
// Tenant token search_rules.
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
add_search_rules(&mut search_query.filter, search_rules);
add_search_rules(&mut search_query, search_rules);
}
let index = index_scheduler.index(&index_uid)?;
@ -105,7 +103,6 @@ impl From<FacetSearchQuery> for SearchQuery {
matching_strategy,
attributes_to_search_on,
hybrid,
ranking_score_threshold,
} = value;
SearchQuery {
@ -115,7 +112,6 @@ impl From<FacetSearchQuery> for SearchQuery {
page: None,
hits_per_page: None,
attributes_to_retrieve: None,
retrieve_vectors: false,
attributes_to_crop: None,
crop_length: DEFAULT_CROP_LENGTH(),
attributes_to_highlight: None,
@ -124,7 +120,6 @@ impl From<FacetSearchQuery> for SearchQuery {
show_ranking_score_details: false,
filter,
sort: None,
distinct: None,
facets: None,
highlight_pre_tag: DEFAULT_HIGHLIGHT_PRE_TAG(),
highlight_post_tag: DEFAULT_HIGHLIGHT_POST_TAG(),
@ -133,7 +128,6 @@ impl From<FacetSearchQuery> for SearchQuery {
vector,
attributes_to_search_on,
hybrid,
ranking_score_threshold,
}
}
}

View File

@ -27,9 +27,9 @@ use crate::Opt;
pub mod documents;
pub mod facet_search;
pub mod recommend;
pub mod search;
pub mod settings;
pub mod similar;
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(
@ -49,7 +49,7 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
.service(web::scope("/documents").configure(documents::configure))
.service(web::scope("/search").configure(search::configure))
.service(web::scope("/facet-search").configure(facet_search::configure))
.service(web::scope("/similar").configure(similar::configure))
.service(web::scope("/recommend").configure(recommend::configure))
.service(web::scope("/settings").configure(settings::configure)),
);
}
@ -271,8 +271,12 @@ impl From<index_scheduler::IndexStats> for IndexStats {
pub async fn get_index_stats(
index_scheduler: GuardedData<ActionPolicy<{ actions::STATS_GET }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
analytics.publish("Stats Seen".to_string(), json!({ "per_index_uid": true }), Some(&req));
let stats = IndexStats::from(index_scheduler.index_stats(&index_uid)?);
debug!(returns = ?stats, "Get index stats");

View File

@ -0,0 +1,53 @@
use actix_web::web::{self, Data};
use actix_web::{HttpRequest, HttpResponse};
use deserr::actix_web::AwebJson;
use index_scheduler::IndexScheduler;
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::keys::actions;
use tracing::debug;
use super::ActionPolicy;
use crate::analytics::Analytics;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::search::{perform_recommend, RecommendQuery, SearchKind};
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(web::resource("").route(web::post().to(SeqHandler(recommend))));
}
pub async fn recommend(
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
params: AwebJson<RecommendQuery, DeserrJsonError>,
_req: HttpRequest,
_analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
// TODO analytics
let query = params.into_inner();
debug!(parameters = ?query, "Recommend post");
let index = index_scheduler.index(&index_uid)?;
let features = index_scheduler.features();
features.check_vector("Using the recommend API.")?;
let (embedder_name, embedder) =
SearchKind::embedder(&index_scheduler, &index, query.embedder.as_deref(), None)?;
let recommendations = tokio::task::spawn_blocking(move || {
perform_recommend(&index, query, embedder_name, embedder)
})
.await?;
let recommendations = recommendations?;
debug!(returns = ?recommendations, "Recommend post");
Ok(HttpResponse::Ok().json(recommendations))
}

View File

@ -19,10 +19,9 @@ use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::metrics::MEILISEARCH_DEGRADED_SEARCH_REQUESTS;
use crate::search::{
add_search_rules, perform_search, HybridQuery, MatchingStrategy, RankingScoreThreshold,
RetrieveVectors, SearchKind, SearchQuery, SemanticRatio, DEFAULT_CROP_LENGTH,
DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG, DEFAULT_HIGHLIGHT_PRE_TAG,
DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET, DEFAULT_SEMANTIC_RATIO,
add_search_rules, perform_search, HybridQuery, MatchingStrategy, SearchKind, SearchQuery,
SemanticRatio, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET, DEFAULT_SEMANTIC_RATIO,
};
use crate::search_queue::SearchQueue;
@ -51,8 +50,6 @@ pub struct SearchQueryGet {
hits_per_page: Option<Param<usize>>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchAttributesToRetrieve>)]
attributes_to_retrieve: Option<CS<String>>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchRetrieveVectors>)]
retrieve_vectors: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchAttributesToCrop>)]
attributes_to_crop: Option<CS<String>>,
#[deserr(default = Param(DEFAULT_CROP_LENGTH()), error = DeserrQueryParamError<InvalidSearchCropLength>)]
@ -63,8 +60,6 @@ pub struct SearchQueryGet {
filter: Option<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchSort>)]
sort: Option<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchDistinct>)]
distinct: Option<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowMatchesPosition>)]
show_matches_position: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowRankingScore>)]
@ -87,21 +82,6 @@ pub struct SearchQueryGet {
pub hybrid_embedder: Option<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchSemanticRatio>)]
pub hybrid_semantic_ratio: Option<SemanticRatioGet>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchRankingScoreThreshold>)]
pub ranking_score_threshold: Option<RankingScoreThresholdGet>,
}
#[derive(Debug, Clone, Copy, PartialEq, deserr::Deserr)]
#[deserr(try_from(String) = TryFrom::try_from -> InvalidSearchRankingScoreThreshold)]
pub struct RankingScoreThresholdGet(RankingScoreThreshold);
impl std::convert::TryFrom<String> for RankingScoreThresholdGet {
type Error = InvalidSearchRankingScoreThreshold;
fn try_from(s: String) -> Result<Self, Self::Error> {
let f: f64 = s.parse().map_err(|_| InvalidSearchRankingScoreThreshold)?;
Ok(RankingScoreThresholdGet(RankingScoreThreshold::try_from(f)?))
}
}
#[derive(Debug, Clone, Copy, Default, PartialEq, deserr::Deserr)]
@ -157,13 +137,11 @@ impl From<SearchQueryGet> for SearchQuery {
page: other.page.as_deref().copied(),
hits_per_page: other.hits_per_page.as_deref().copied(),
attributes_to_retrieve: other.attributes_to_retrieve.map(|o| o.into_iter().collect()),
retrieve_vectors: other.retrieve_vectors.0,
attributes_to_crop: other.attributes_to_crop.map(|o| o.into_iter().collect()),
crop_length: other.crop_length.0,
attributes_to_highlight: other.attributes_to_highlight.map(|o| o.into_iter().collect()),
filter,
sort: other.sort.map(|attr| fix_sort_query_parameters(&attr)),
distinct: other.distinct,
show_matches_position: other.show_matches_position.0,
show_ranking_score: other.show_ranking_score.0,
show_ranking_score_details: other.show_ranking_score_details.0,
@ -174,7 +152,6 @@ impl From<SearchQueryGet> for SearchQuery {
matching_strategy: other.matching_strategy,
attributes_to_search_on: other.attributes_to_search_on.map(|o| o.into_iter().collect()),
hybrid,
ranking_score_threshold: other.ranking_score_threshold.map(|o| o.0),
}
}
}
@ -219,7 +196,7 @@ pub async fn search_with_url_query(
// Tenant token search_rules.
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
add_search_rules(&mut query.filter, search_rules);
add_search_rules(&mut query, search_rules);
}
let mut aggregate = SearchAggregator::from_query(&query, &req);
@ -228,12 +205,10 @@ pub async fn search_with_url_query(
let features = index_scheduler.features();
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)?;
let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors, features)?;
let _permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(&index, query, search_kind, retrieve_vector)
})
.await?;
let search_result =
tokio::task::spawn_blocking(move || perform_search(&index, query, search_kind)).await?;
if let Ok(ref search_result) = search_result {
aggregate.succeed(search_result);
}
@ -260,7 +235,7 @@ pub async fn search_with_post(
// Tenant token search_rules.
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
add_search_rules(&mut query.filter, search_rules);
add_search_rules(&mut query, search_rules);
}
let mut aggregate = SearchAggregator::from_query(&query, &req);
@ -270,13 +245,10 @@ pub async fn search_with_post(
let features = index_scheduler.features();
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)?;
let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors, features)?;
let _permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(&index, query, search_kind, retrieve_vectors)
})
.await?;
let search_result =
tokio::task::spawn_blocking(move || perform_search(&index, query, search_kind)).await?;
if let Ok(ref search_result) = search_result {
aggregate.succeed(search_result);
if search_result.degraded {
@ -298,10 +270,11 @@ pub fn search_kind(
features: RoFeatures,
) -> Result<SearchKind, ResponseError> {
if query.vector.is_some() {
features.check_vector("Passing `vector` as a parameter")?;
features.check_vector("Passing `vector` as a query parameter")?;
}
if query.hybrid.is_some() {
features.check_vector("Passing `hybrid` as a parameter")?;
features.check_vector("Passing `hybrid` as a query parameter")?;
}
// regardless of anything, always do a keyword search when we don't have a vector and the query is whitespace or missing

View File

@ -137,8 +137,10 @@ macro_rules! make_setting_route {
let settings = settings(&index, &rtxn, meilisearch_types::settings::SecretPolicy::HideSecrets)?;
debug!(returns = ?settings, "Update settings");
let mut json = serde_json::json!(&settings);
let val = json[$camelcase_attr].take();
Ok(HttpResponse::Ok().json(settings.$attr))
Ok(HttpResponse::Ok().json(val))
}
pub fn resources() -> Resource {

View File

@ -1,192 +0,0 @@
use actix_web::web::{self, Data};
use actix_web::{HttpRequest, HttpResponse};
use deserr::actix_web::{AwebJson, AwebQueryParameter};
use index_scheduler::IndexScheduler;
use meilisearch_types::deserr::query_params::Param;
use meilisearch_types::deserr::{DeserrJsonError, DeserrQueryParamError};
use meilisearch_types::error::deserr_codes::*;
use meilisearch_types::error::{ErrorCode as _, ResponseError};
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::keys::actions;
use meilisearch_types::serde_cs::vec::CS;
use serde_json::Value;
use tracing::debug;
use super::ActionPolicy;
use crate::analytics::{Analytics, SimilarAggregator};
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::search::{
add_search_rules, perform_similar, RankingScoreThresholdSimilar, RetrieveVectors, SearchKind,
SimilarQuery, SimilarResult, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET,
};
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(
web::resource("")
.route(web::get().to(SeqHandler(similar_get)))
.route(web::post().to(SeqHandler(similar_post))),
);
}
pub async fn similar_get(
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
params: AwebQueryParameter<SimilarQueryGet, DeserrQueryParamError>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let query = params.0.try_into()?;
let mut aggregate = SimilarAggregator::from_query(&query, &req);
debug!(parameters = ?query, "Similar get");
let similar = similar(index_scheduler, index_uid, query).await;
if let Ok(similar) = &similar {
aggregate.succeed(similar);
}
analytics.get_similar(aggregate);
let similar = similar?;
debug!(returns = ?similar, "Similar get");
Ok(HttpResponse::Ok().json(similar))
}
pub async fn similar_post(
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
params: AwebJson<SimilarQuery, DeserrJsonError>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let query = params.into_inner();
debug!(parameters = ?query, "Similar post");
let mut aggregate = SimilarAggregator::from_query(&query, &req);
let similar = similar(index_scheduler, index_uid, query).await;
if let Ok(similar) = &similar {
aggregate.succeed(similar);
}
analytics.post_similar(aggregate);
let similar = similar?;
debug!(returns = ?similar, "Similar post");
Ok(HttpResponse::Ok().json(similar))
}
async fn similar(
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
index_uid: IndexUid,
mut query: SimilarQuery,
) -> Result<SimilarResult, ResponseError> {
let features = index_scheduler.features();
features.check_vector("Using the similar API")?;
let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors, features)?;
// Tenant token search_rules.
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
add_search_rules(&mut query.filter, search_rules);
}
let index = index_scheduler.index(&index_uid)?;
let (embedder_name, embedder) =
SearchKind::embedder(&index_scheduler, &index, query.embedder.as_deref(), None)?;
tokio::task::spawn_blocking(move || {
perform_similar(&index, query, embedder_name, embedder, retrieve_vectors)
})
.await?
}
#[derive(Debug, deserr::Deserr)]
#[deserr(error = DeserrQueryParamError, rename_all = camelCase, deny_unknown_fields)]
pub struct SimilarQueryGet {
#[deserr(error = DeserrQueryParamError<InvalidSimilarId>)]
id: Param<String>,
#[deserr(default = Param(DEFAULT_SEARCH_OFFSET()), error = DeserrQueryParamError<InvalidSimilarOffset>)]
offset: Param<usize>,
#[deserr(default = Param(DEFAULT_SEARCH_LIMIT()), error = DeserrQueryParamError<InvalidSimilarLimit>)]
limit: Param<usize>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarAttributesToRetrieve>)]
attributes_to_retrieve: Option<CS<String>>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarRetrieveVectors>)]
retrieve_vectors: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarFilter>)]
filter: Option<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarShowRankingScore>)]
show_ranking_score: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarShowRankingScoreDetails>)]
show_ranking_score_details: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarRankingScoreThreshold>, default)]
pub ranking_score_threshold: Option<RankingScoreThresholdGet>,
#[deserr(default, error = DeserrQueryParamError<InvalidEmbedder>)]
pub embedder: Option<String>,
}
#[derive(Debug, Clone, Copy, PartialEq, deserr::Deserr)]
#[deserr(try_from(String) = TryFrom::try_from -> InvalidSimilarRankingScoreThreshold)]
pub struct RankingScoreThresholdGet(RankingScoreThresholdSimilar);
impl std::convert::TryFrom<String> for RankingScoreThresholdGet {
type Error = InvalidSimilarRankingScoreThreshold;
fn try_from(s: String) -> Result<Self, Self::Error> {
let f: f64 = s.parse().map_err(|_| InvalidSimilarRankingScoreThreshold)?;
Ok(RankingScoreThresholdGet(RankingScoreThresholdSimilar::try_from(f)?))
}
}
impl TryFrom<SimilarQueryGet> for SimilarQuery {
type Error = ResponseError;
fn try_from(
SimilarQueryGet {
id,
offset,
limit,
attributes_to_retrieve,
retrieve_vectors,
filter,
show_ranking_score,
show_ranking_score_details,
embedder,
ranking_score_threshold,
}: SimilarQueryGet,
) -> Result<Self, Self::Error> {
let filter = match filter {
Some(f) => match serde_json::from_str(&f) {
Ok(v) => Some(v),
_ => Some(Value::String(f)),
},
None => None,
};
Ok(SimilarQuery {
id: id.0.try_into().map_err(|code: InvalidSimilarId| {
ResponseError::from_msg(code.to_string(), code.error_code())
})?,
offset: offset.0,
limit: limit.0,
filter,
embedder,
attributes_to_retrieve: attributes_to_retrieve.map(|o| o.into_iter().collect()),
retrieve_vectors: retrieve_vectors.0,
show_ranking_score: show_ranking_score.0,
show_ranking_score_details: show_ranking_score_details.0,
ranking_score_threshold: ranking_score_threshold.map(|x| x.0),
})
}
}

View File

@ -8,9 +8,11 @@ use meilisearch_types::error::{Code, ResponseError};
use meilisearch_types::settings::{Settings, Unchecked};
use meilisearch_types::tasks::{Kind, Status, Task, TaskId};
use serde::{Deserialize, Serialize};
use serde_json::json;
use time::OffsetDateTime;
use tracing::debug;
use crate::analytics::Analytics;
use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::search_queue::SearchQueue;
@ -294,7 +296,10 @@ pub struct Stats {
async fn get_stats(
index_scheduler: GuardedData<ActionPolicy<{ actions::STATS_GET }>, Data<IndexScheduler>>,
auth_controller: GuardedData<ActionPolicy<{ actions::STATS_GET }>, Data<AuthController>>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
analytics.publish("Stats Seen".to_string(), json!({ "per_index_uid": false }), Some(&req));
let filters = index_scheduler.filters();
let stats = create_all_stats((*index_scheduler).clone(), (*auth_controller).clone(), filters)?;
@ -350,7 +355,11 @@ struct VersionResponse {
async fn get_version(
_index_scheduler: GuardedData<ActionPolicy<{ actions::VERSION }>, Data<IndexScheduler>>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> HttpResponse {
analytics.publish("Version Seen".to_string(), json!(null), Some(&req));
let build_info = build_info::BuildInfo::from_build();
HttpResponse::Ok().json(VersionResponse {
@ -367,11 +376,21 @@ async fn get_version(
})
}
#[derive(Serialize)]
struct KeysResponse {
private: Option<String>,
public: Option<String>,
}
pub async fn get_health(
req: HttpRequest,
index_scheduler: Data<IndexScheduler>,
auth_controller: Data<AuthController>,
search_queue: Data<SearchQueue>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
analytics.health_seen(&req);
search_queue.health().unwrap();
index_scheduler.health().unwrap();
auth_controller.health().unwrap();

View File

@ -15,7 +15,7 @@ use crate::extractors::authentication::{AuthenticationError, GuardedData};
use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::indexes::search::search_kind;
use crate::search::{
add_search_rules, perform_search, RetrieveVectors, SearchQueryWithIndex, SearchResultWithIndex,
add_search_rules, perform_search, SearchQueryWithIndex, SearchResultWithIndex,
};
use crate::search_queue::SearchQueue;
@ -67,7 +67,7 @@ pub async fn multi_search_with_post(
// Apply search rules from tenant token
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid)
{
add_search_rules(&mut query.filter, search_rules);
add_search_rules(&mut query, search_rules);
}
let index = index_scheduler
@ -83,14 +83,11 @@ pub async fn multi_search_with_post(
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)
.with_index(query_index)?;
let retrieve_vector =
RetrieveVectors::new(query.retrieve_vectors, features).with_index(query_index)?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(&index, query, search_kind, retrieve_vector)
})
.await
.with_index(query_index)?;
let search_result =
tokio::task::spawn_blocking(move || perform_search(&index, query, search_kind))
.await
.with_index(query_index)?;
search_results.push(SearchResultWithIndex {
index_uid: index_uid.into_inner(),

View File

@ -270,8 +270,12 @@ pub struct AllTasks {
async fn get_tasks(
index_scheduler: GuardedData<ActionPolicy<{ actions::TASKS_GET }>, Data<IndexScheduler>>,
params: AwebQueryParameter<TasksFilterQuery, DeserrQueryParamError>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let mut params = params.into_inner();
analytics.get_tasks(&params, &req);
// We +1 just to know if there is more after this "page" or not.
params.limit.0 = params.limit.0.saturating_add(1);
let limit = params.limit.0;
@ -294,6 +298,8 @@ async fn get_tasks(
async fn get_task(
index_scheduler: GuardedData<ActionPolicy<{ actions::TASKS_GET }>, Data<IndexScheduler>>,
task_uid: web::Path<String>,
req: HttpRequest,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let task_uid_string = task_uid.into_inner();
@ -304,6 +310,8 @@ async fn get_task(
}
};
analytics.publish("Tasks Seen".to_string(), json!({ "per_task_uid": true }), Some(&req));
let query = index_scheduler::Query { uids: Some(vec![task_uid]), ..Query::default() };
let filters = index_scheduler.filters();
let (tasks, _) = index_scheduler.get_tasks_from_authorized_indexes(query, filters)?;

File diff suppressed because it is too large Load Diff

View File

@ -40,9 +40,8 @@ pub struct Permit {
impl Drop for Permit {
fn drop(&mut self) {
let sender = self.sender.clone();
// if the channel is closed then the whole instance is down
std::mem::drop(tokio::spawn(async move { sender.send(()).await }));
let _ = futures::executor::block_on(self.sender.send(()));
}
}
@ -86,13 +85,8 @@ impl SearchQueue {
},
search_request = receive_new_searches.recv() => {
let search_request = match search_request {
Some(search_request) => search_request,
// This should never happen while actix-web is running, but it's not a reason to crash
// and it can generate a lot of noise in the tests.
None => continue,
};
// this unwrap is safe because we're sure the `SearchQueue` still lives somewhere in actix-web
let search_request = search_request.unwrap();
if searches_running < usize::from(parallelism) && queue.is_empty() {
searches_running += 1;
// if the search requests die it's not a hard error on our side

View File

@ -78,7 +78,7 @@ pub static ALL_ACTIONS: Lazy<HashSet<&'static str>> = Lazy::new(|| {
});
static INVALID_RESPONSE: Lazy<Value> = Lazy::new(|| {
json!({"message": null,
json!({"message": "The provided API key is invalid.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
@ -119,8 +119,7 @@ async fn error_access_expired_key() {
thread::sleep(time::Duration::new(1, 0));
for (method, route) in AUTHORIZATIONS.keys() {
let (mut response, code) = server.dummy_request(method, route).await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request(method, route).await;
assert_eq!(response, INVALID_RESPONSE.clone(), "on route: {:?} - {:?}", method, route);
assert_eq!(403, code, "{:?}", &response);
@ -150,8 +149,7 @@ async fn error_access_unauthorized_index() {
// filter `products` index routes
.filter(|(_, route)| route.starts_with("/indexes/products"))
{
let (mut response, code) = server.dummy_request(method, route).await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request(method, route).await;
assert_eq!(response, INVALID_RESPONSE.clone(), "on route: {:?} - {:?}", method, route);
assert_eq!(403, code, "{:?}", &response);
@ -178,8 +176,7 @@ async fn error_access_unauthorized_action() {
let key = response["key"].as_str().unwrap();
server.use_api_key(key);
let (mut response, code) = server.dummy_request(method, route).await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request(method, route).await;
assert_eq!(response, INVALID_RESPONSE.clone(), "on route: {:?} - {:?}", method, route);
assert_eq!(403, code, "{:?}", &response);
@ -283,7 +280,7 @@ async fn access_authorized_no_index_restriction() {
route,
action
);
assert_ne!(code, 403, "on route: {:?} - {:?} with action: {:?}", method, route, action);
assert_ne!(code, 403);
}
}
}

View File

@ -1,10 +1,7 @@
use actix_web::test;
use http::StatusCode;
use jsonwebtoken::{EncodingKey, Header};
use meili_snap::*;
use uuid::Uuid;
use crate::common::{Server, Value};
use crate::common::Server;
use crate::json;
#[actix_rt::test]
@ -439,262 +436,3 @@ async fn patch_api_keys_unknown_field() {
}
"###);
}
async fn send_request_with_custom_auth(
app: impl actix_web::dev::Service<
actix_http::Request,
Response = actix_web::dev::ServiceResponse<impl actix_web::body::MessageBody>,
Error = actix_web::Error,
>,
url: &str,
auth: &str,
) -> (Value, StatusCode) {
let req = test::TestRequest::get().uri(url).insert_header(("Authorization", auth)).to_request();
let res = test::call_service(&app, req).await;
let status_code = res.status();
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
(response, status_code)
}
#[actix_rt::test]
async fn invalid_auth_format() {
let server = Server::new_auth().await;
let app = server.init_web_app().await;
let req = test::TestRequest::get().uri("/indexes/dog/documents").to_request();
let res = test::call_service(&app, req).await;
let status_code = res.status();
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
snapshot!(status_code, @"401 Unauthorized");
snapshot!(response, @r###"
{
"message": "The Authorization header is missing. It must use the bearer authorization method.",
"code": "missing_authorization_header",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#missing_authorization_header"
}
"###);
let req = test::TestRequest::get().uri("/indexes/dog/documents").to_request();
let res = test::call_service(&app, req).await;
let status_code = res.status();
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
snapshot!(status_code, @"401 Unauthorized");
snapshot!(response, @r###"
{
"message": "The Authorization header is missing. It must use the bearer authorization method.",
"code": "missing_authorization_header",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#missing_authorization_header"
}
"###);
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/documents", "Bearer").await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "The provided API key is invalid.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
}
#[actix_rt::test]
async fn invalid_api_key() {
let server = Server::new_auth().await;
let app = server.init_web_app().await;
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/search", "Bearer kefir").await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "The provided API key is invalid.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
let uuid = Uuid::nil();
let key = json!({ "actions": ["search"], "indexes": ["dog"], "expiresAt": null, "uid": uuid.to_string() });
let req = test::TestRequest::post()
.uri("/keys")
.insert_header(("Authorization", "Bearer MASTER_KEY"))
.set_json(&key)
.to_request();
let res = test::call_service(&app, req).await;
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
snapshot!(json_string!(response, { ".createdAt" => "[date]", ".updatedAt" => "[date]" }), @r###"
{
"name": null,
"description": null,
"key": "aeb94973e0b6e912d94165430bbe87dee91a7c4f891ce19050c3910ec96977e9",
"uid": "00000000-0000-0000-0000-000000000000",
"actions": [
"search"
],
"indexes": [
"dog"
],
"expiresAt": null,
"createdAt": "[date]",
"updatedAt": "[date]"
}
"###);
let key = response["key"].as_str().unwrap();
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/doggo/search", &format!("Bearer {key}"))
.await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "The API key cannot acces the index `doggo`, authorized indexes are [\"dog\"].",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
}
#[actix_rt::test]
async fn invalid_tenant_token() {
let server = Server::new_auth().await;
let app = server.init_web_app().await;
// The tenant token won't be recognized at all if we're not on a search route
let claims = json!({ "tamo": "kefir" });
let jwt = jsonwebtoken::encode(&Header::default(), &claims, &EncodingKey::from_secret(b"tamo"))
.unwrap();
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/documents", &format!("Bearer {jwt}"))
.await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "The provided API key is invalid.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
let claims = json!({ "tamo": "kefir" });
let jwt = jsonwebtoken::encode(&Header::default(), &claims, &EncodingKey::from_secret(b"tamo"))
.unwrap();
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/search", &format!("Bearer {jwt}")).await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "Could not decode tenant token, JSON error: missing field `searchRules` at line 1 column 16.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
// The error messages are not ideal but that's expected since we cannot _yet_ use deserr
let claims = json!({ "searchRules": "kefir" });
let jwt = jsonwebtoken::encode(&Header::default(), &claims, &EncodingKey::from_secret(b"tamo"))
.unwrap();
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/search", &format!("Bearer {jwt}")).await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "Could not decode tenant token, JSON error: data did not match any variant of untagged enum SearchRules at line 1 column 23.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
let uuid = Uuid::nil();
let claims = json!({ "searchRules": ["kefir"], "apiKeyUid": uuid.to_string() });
let jwt = jsonwebtoken::encode(&Header::default(), &claims, &EncodingKey::from_secret(b"tamo"))
.unwrap();
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/search", &format!("Bearer {jwt}")).await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "Could not decode tenant token, InvalidSignature.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
// ~~ For the next tests we first need a valid API key
let key = json!({ "actions": ["search"], "indexes": ["dog"], "expiresAt": null, "uid": uuid.to_string() });
let req = test::TestRequest::post()
.uri("/keys")
.insert_header(("Authorization", "Bearer MASTER_KEY"))
.set_json(&key)
.to_request();
let res = test::call_service(&app, req).await;
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
snapshot!(json_string!(response, { ".createdAt" => "[date]", ".updatedAt" => "[date]" }), @r###"
{
"name": null,
"description": null,
"key": "aeb94973e0b6e912d94165430bbe87dee91a7c4f891ce19050c3910ec96977e9",
"uid": "00000000-0000-0000-0000-000000000000",
"actions": [
"search"
],
"indexes": [
"dog"
],
"expiresAt": null,
"createdAt": "[date]",
"updatedAt": "[date]"
}
"###);
let key = response["key"].as_str().unwrap();
let claims = json!({ "searchRules": ["doggo", "catto"], "apiKeyUid": uuid.to_string() });
let jwt = jsonwebtoken::encode(
&Header::default(),
&claims,
&EncodingKey::from_secret(key.as_bytes()),
)
.unwrap();
// Try to access an index that is not authorized by the tenant token
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/dog/search", &format!("Bearer {jwt}")).await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "The provided tenant token cannot acces the index `dog`, allowed indexes are [\"catto\", \"doggo\"].",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
// Try to access an index that *is* authorized by the tenant token but not by the api key used to generate the tt
let (response, status_code) =
send_request_with_custom_auth(&app, "/indexes/doggo/search", &format!("Bearer {jwt}"))
.await;
snapshot!(status_code, @"403 Forbidden");
snapshot!(response, @r###"
{
"message": "The API key used to generate this tenant token cannot acces the index `doggo`.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
}
"###);
}

View File

@ -53,8 +53,7 @@ static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
});
static INVALID_RESPONSE: Lazy<Value> = Lazy::new(|| {
json!({
"message": null,
json!({"message": "The provided API key is invalid.",
"code": "invalid_api_key",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#invalid_api_key"
@ -192,9 +191,7 @@ macro_rules! compute_forbidden_search {
server.use_api_key(&web_token);
let index = server.index("sales");
index
.search(json!({}), |mut response, code| {
// We don't assert anything on the message since it may change between cases
response["message"] = serde_json::json!(null);
.search(json!({}), |response, code| {
assert_eq!(
response,
INVALID_RESPONSE.clone(),
@ -498,8 +495,7 @@ async fn error_access_forbidden_routes() {
for ((method, route), actions) in AUTHORIZATIONS.iter() {
if !actions.contains("search") {
let (mut response, code) = server.dummy_request(method, route).await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request(method, route).await;
assert_eq!(response, INVALID_RESPONSE.clone());
assert_eq!(code, 403);
}
@ -533,16 +529,14 @@ async fn error_access_expired_parent_key() {
server.use_api_key(&web_token);
// test search request while parent_key is not expired
let (mut response, code) = server.dummy_request("POST", "/indexes/products/search").await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request("POST", "/indexes/products/search").await;
assert_ne!(response, INVALID_RESPONSE.clone());
assert_ne!(code, 403);
// wait until the key is expired.
thread::sleep(time::Duration::new(1, 0));
let (mut response, code) = server.dummy_request("POST", "/indexes/products/search").await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request("POST", "/indexes/products/search").await;
assert_eq!(response, INVALID_RESPONSE.clone());
assert_eq!(code, 403);
}
@ -591,8 +585,7 @@ async fn error_access_modified_token() {
.join(".");
server.use_api_key(&altered_token);
let (mut response, code) = server.dummy_request("POST", "/indexes/products/search").await;
response["message"] = serde_json::json!(null);
let (response, code) = server.dummy_request("POST", "/indexes/products/search").await;
assert_eq!(response, INVALID_RESPONSE.clone());
assert_eq!(code, 403);
}

View File

@ -109,11 +109,9 @@ static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
fn invalid_response(query_index: Option<usize>) -> Value {
let message = if let Some(query_index) = query_index {
json!(format!("Inside `.queries[{query_index}]`: The provided API key is invalid."))
format!("Inside `.queries[{query_index}]`: The provided API key is invalid.")
} else {
// if it's anything else we simply return null and will tests all the
// error messages somewhere else
json!(null)
"The provided API key is invalid.".to_string()
};
json!({"message": message,
"code": "invalid_api_key",
@ -416,10 +414,7 @@ macro_rules! compute_forbidden_single_search {
for (tenant_token, failed_query_index) in $tenant_tokens.iter().zip(failed_query_indexes.into_iter()) {
let web_token = generate_tenant_token(&uid, &key, tenant_token.clone());
server.use_api_key(&web_token);
let (mut response, code) = server.multi_search(json!({"queries" : [{"indexUid": "sales"}]})).await;
if failed_query_index.is_none() && !response["message"].is_null() {
response["message"] = serde_json::json!(null);
}
let (response, code) = server.multi_search(json!({"queries" : [{"indexUid": "sales"}]})).await;
assert_eq!(
response,
invalid_response(failed_query_index),
@ -474,13 +469,10 @@ macro_rules! compute_forbidden_multiple_search {
for (tenant_token, failed_query_index) in $tenant_tokens.iter().zip(failed_query_indexes.into_iter()) {
let web_token = generate_tenant_token(&uid, &key, tenant_token.clone());
server.use_api_key(&web_token);
let (mut response, code) = server.multi_search(json!({"queries" : [
let (response, code) = server.multi_search(json!({"queries" : [
{"indexUid": "sales"},
{"indexUid": "products"},
]})).await;
if failed_query_index.is_none() && !response["message"].is_null() {
response["message"] = serde_json::json!(null);
}
assert_eq!(
response,
invalid_response(failed_query_index),
@ -1081,20 +1073,18 @@ async fn error_access_expired_parent_key() {
server.use_api_key(&web_token);
// test search request while parent_key is not expired
let (mut response, code) = server
let (response, code) = server
.multi_search(json!({"queries" : [{"indexUid": "sales"}, {"indexUid": "products"}]}))
.await;
response["message"] = serde_json::json!(null);
assert_ne!(response, invalid_response(None));
assert_ne!(code, 403);
// wait until the key is expired.
thread::sleep(time::Duration::new(1, 0));
let (mut response, code) = server
let (response, code) = server
.multi_search(json!({"queries" : [{"indexUid": "sales"}, {"indexUid": "products"}]}))
.await;
response["message"] = serde_json::json!(null);
assert_eq!(response, invalid_response(None));
assert_eq!(code, 403);
}
@ -1144,9 +1134,8 @@ async fn error_access_modified_token() {
.join(".");
server.use_api_key(&altered_token);
let (mut response, code) =
let (response, code) =
server.multi_search(json!({"queries" : [{"indexUid": "products"}]})).await;
response["message"] = serde_json::json!(null);
assert_eq!(response, invalid_response(None));
assert_eq!(code, 403);
}

View File

@ -182,10 +182,14 @@ impl Index<'_> {
self.service.get(url).await
}
pub async fn get_document(&self, id: u64, options: Option<Value>) -> (Value, StatusCode) {
pub async fn get_document(
&self,
id: u64,
options: Option<GetDocumentOptions>,
) -> (Value, StatusCode) {
let mut url = format!("/indexes/{}/documents/{}", urlencode(self.uid.as_ref()), id);
if let Some(options) = options {
write!(url, "{}", yaup::to_string(&options).unwrap()).unwrap();
if let Some(fields) = options.and_then(|o| o.fields) {
let _ = write!(url, "?fields={}", fields.join(","));
}
self.service.get(url).await
}
@ -201,11 +205,18 @@ impl Index<'_> {
}
pub async fn get_all_documents(&self, options: GetAllDocumentsOptions) -> (Value, StatusCode) {
let url = format!(
"/indexes/{}/documents{}",
urlencode(self.uid.as_ref()),
yaup::to_string(&options).unwrap()
);
let mut url = format!("/indexes/{}/documents?", urlencode(self.uid.as_ref()));
if let Some(limit) = options.limit {
let _ = write!(url, "limit={}&", limit);
}
if let Some(offset) = options.offset {
let _ = write!(url, "offset={}&", offset);
}
if let Some(attributes_to_retrieve) = options.attributes_to_retrieve {
let _ = write!(url, "fields={}&", attributes_to_retrieve.join(","));
}
self.service.get(url).await
}
@ -365,44 +376,7 @@ impl Index<'_> {
}
pub async fn search_get(&self, query: &str) -> (Value, StatusCode) {
let url = format!("/indexes/{}/search{}", urlencode(self.uid.as_ref()), query);
self.service.get(url).await
}
/// Performs both GET and POST similar queries
pub async fn similar(
&self,
query: Value,
test: impl Fn(Value, StatusCode) + UnwindSafe + Clone,
) {
let post = self.similar_post(query.clone()).await;
let query = yaup::to_string(&query).unwrap();
let get = self.similar_get(&query).await;
insta::allow_duplicates! {
let (response, code) = post;
let t = test.clone();
if let Err(e) = catch_unwind(move || t(response, code)) {
eprintln!("Error with post search");
resume_unwind(e);
}
let (response, code) = get;
if let Err(e) = catch_unwind(move || test(response, code)) {
eprintln!("Error with get search");
resume_unwind(e);
}
}
}
pub async fn similar_post(&self, query: Value) -> (Value, StatusCode) {
let url = format!("/indexes/{}/similar", urlencode(self.uid.as_ref()));
self.service.post_encoded(url, query, self.encoder).await
}
pub async fn similar_get(&self, query: &str) -> (Value, StatusCode) {
let url = format!("/indexes/{}/similar{}", urlencode(self.uid.as_ref()), query);
let url = format!("/indexes/{}/search?{}", urlencode(self.uid.as_ref()), query);
self.service.get(url).await
}
@ -424,14 +398,13 @@ impl Index<'_> {
}
}
#[derive(Debug, Default, serde::Serialize)]
#[serde(rename_all = "camelCase")]
pub struct GetAllDocumentsOptions {
#[serde(skip_serializing_if = "Option::is_none")]
pub limit: Option<usize>,
#[serde(skip_serializing_if = "Option::is_none")]
pub offset: Option<usize>,
#[serde(skip_serializing_if = "Option::is_none")]
pub struct GetDocumentOptions {
pub fields: Option<Vec<&'static str>>,
pub retrieve_vectors: bool,
}
#[derive(Debug, Default)]
pub struct GetAllDocumentsOptions {
pub limit: Option<usize>,
pub offset: Option<usize>,
pub attributes_to_retrieve: Option<Vec<&'static str>>,
}

View File

@ -6,7 +6,7 @@ pub mod service;
use std::fmt::{self, Display};
#[allow(unused)]
pub use index::GetAllDocumentsOptions;
pub use index::{GetAllDocumentsOptions, GetDocumentOptions};
use meili_snap::json_string;
use serde::{Deserialize, Serialize};
#[allow(unused)]
@ -42,12 +42,6 @@ impl std::ops::Deref for Value {
}
}
impl std::ops::DerefMut for Value {
fn deref_mut(&mut self) -> &mut Self::Target {
&mut self.0
}
}
impl PartialEq<serde_json::Value> for Value {
fn eq(&self, other: &serde_json::Value) -> bool {
&self.0 == other
@ -71,7 +65,7 @@ impl Display for Value {
write!(
f,
"{}",
json_string!(self, { ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]", ".processingTimeMs" => "[duration]" })
json_string!(self, { ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]" })
)
}
}

View File

@ -183,58 +183,6 @@ async fn add_single_document_gzip_encoded() {
}
"###);
}
#[actix_rt::test]
async fn add_single_document_gzip_encoded_with_incomplete_error() {
let document = json!("kefir");
// this is a what is expected and should work
let server = Server::new().await;
let app = server.init_web_app().await;
// post
let document = serde_json::to_string(&document).unwrap();
let req = test::TestRequest::post()
.uri("/indexes/dog/documents")
.set_payload(document.to_string())
.insert_header(("content-type", "application/json"))
.insert_header(("content-encoding", "gzip"))
.to_request();
let res = test::call_service(&app, req).await;
let status_code = res.status();
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
snapshot!(status_code, @"400 Bad Request");
snapshot!(json_string!(response),
@r###"
{
"message": "The provided payload is incomplete and cannot be parsed",
"code": "bad_request",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#bad_request"
}
"###);
// put
let req = test::TestRequest::put()
.uri("/indexes/dog/documents")
.set_payload(document.to_string())
.insert_header(("content-type", "application/json"))
.insert_header(("content-encoding", "gzip"))
.to_request();
let res = test::call_service(&app, req).await;
let status_code = res.status();
let body = test::read_body(res).await;
let response: Value = serde_json::from_slice(&body).unwrap_or_default();
snapshot!(status_code, @"400 Bad Request");
snapshot!(json_string!(response),
@r###"
{
"message": "The provided payload is incomplete and cannot be parsed",
"code": "bad_request",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#bad_request"
}
"###);
}
/// Here we try document request with every encoding
#[actix_rt::test]
@ -1092,52 +1040,6 @@ async fn document_addition_with_primary_key() {
"###);
}
#[actix_rt::test]
async fn document_addition_with_huge_int_primary_key() {
let server = Server::new().await;
let index = server.index("test");
let documents = json!([
{
"primary": 14630868576586246730u64,
"content": "foo",
}
]);
let (response, code) = index.add_documents(documents, Some("primary")).await;
snapshot!(code, @"202 Accepted");
let response = index.wait_task(response.uid()).await;
snapshot!(response,
@r###"
{
"uid": 0,
"indexUid": "test",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "[duration]",
"enqueuedAt": "[date]",
"startedAt": "[date]",
"finishedAt": "[date]"
}
"###);
let (response, code) = index.get_document(14630868576586246730u64, None).await;
snapshot!(code, @"200 OK");
snapshot!(json_string!(response),
@r###"
{
"primary": 14630868576586246730,
"content": "foo"
}
"###);
}
#[actix_rt::test]
async fn replace_document() {
let server = Server::new().await;

View File

@ -719,7 +719,7 @@ async fn fetch_document_by_filter() {
let (response, code) = index.get_document_by_filter(json!(null)).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value type: expected an object, but found null",
"code": "bad_request",
@ -730,7 +730,7 @@ async fn fetch_document_by_filter() {
let (response, code) = index.get_document_by_filter(json!({ "offset": "doggo" })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value type at `.offset`: expected a positive integer, but found a string: `\"doggo\"`",
"code": "invalid_document_offset",
@ -741,7 +741,7 @@ async fn fetch_document_by_filter() {
let (response, code) = index.get_document_by_filter(json!({ "limit": "doggo" })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value type at `.limit`: expected a positive integer, but found a string: `\"doggo\"`",
"code": "invalid_document_limit",
@ -752,7 +752,7 @@ async fn fetch_document_by_filter() {
let (response, code) = index.get_document_by_filter(json!({ "fields": "doggo" })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value type at `.fields`: expected an array, but found a string: `\"doggo\"`",
"code": "invalid_document_fields",
@ -763,7 +763,7 @@ async fn fetch_document_by_filter() {
let (response, code) = index.get_document_by_filter(json!({ "filter": true })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Invalid syntax for the filter parameter: `expected String, Array, found: true`.",
"code": "invalid_document_filter",
@ -774,7 +774,7 @@ async fn fetch_document_by_filter() {
let (response, code) = index.get_document_by_filter(json!({ "filter": "cool doggo" })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `_geoRadius`, or `_geoBoundingBox` at `cool doggo`.\n1:11 cool doggo",
"code": "invalid_document_filter",
@ -786,7 +786,7 @@ async fn fetch_document_by_filter() {
let (response, code) =
index.get_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
snapshot!(json_string!(response), @r###"
{
"message": "Attribute `doggo` is not filterable. Available filterable attributes are: `color`.\n1:6 doggo = bernese",
"code": "invalid_document_filter",
@ -795,70 +795,3 @@ async fn fetch_document_by_filter() {
}
"###);
}
#[actix_rt::test]
async fn retrieve_vectors() {
let server = Server::new().await;
let index = server.index("doggo");
// GET ALL DOCUMENTS BY QUERY
let (response, _code) = index.get_all_documents_raw("?retrieveVectors=tamo").await;
snapshot!(response, @r###"
{
"message": "Invalid value in parameter `retrieveVectors`: could not parse `tamo` as a boolean, expected either `true` or `false`",
"code": "invalid_document_retrieve_vectors",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_retrieve_vectors"
}
"###);
let (response, _code) = index.get_all_documents_raw("?retrieveVectors=true").await;
snapshot!(response, @r###"
{
"message": "Passing `retrieveVectors` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
"code": "feature_not_enabled",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
}
"###);
// FETCH ALL DOCUMENTS BY POST
let (response, _code) =
index.get_document_by_filter(json!({ "retrieveVectors": "tamo" })).await;
snapshot!(response, @r###"
{
"message": "Invalid value type at `.retrieveVectors`: expected a boolean, but found a string: `\"tamo\"`",
"code": "invalid_document_retrieve_vectors",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_retrieve_vectors"
}
"###);
let (response, _code) = index.get_document_by_filter(json!({ "retrieveVectors": true })).await;
snapshot!(response, @r###"
{
"message": "Passing `retrieveVectors` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
"code": "feature_not_enabled",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
}
"###);
// GET A SINGLE DOCUMENT
let (response, _code) = index.get_document(0, Some(json!({"retrieveVectors": "tamo"}))).await;
snapshot!(response, @r###"
{
"message": "Invalid value in parameter `retrieveVectors`: could not parse `tamo` as a boolean, expected either `true` or `false`",
"code": "invalid_document_retrieve_vectors",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_retrieve_vectors"
}
"###);
let (response, _code) = index.get_document(0, Some(json!({"retrieveVectors": true}))).await;
snapshot!(response, @r###"
{
"message": "Passing `retrieveVectors` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
"code": "feature_not_enabled",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
}
"###);
}

View File

@ -4,7 +4,7 @@ use meili_snap::*;
use urlencoding::encode as urlencode;
use crate::common::encoder::Encoder;
use crate::common::{GetAllDocumentsOptions, Server, Value};
use crate::common::{GetAllDocumentsOptions, GetDocumentOptions, Server, Value};
use crate::json;
// TODO: partial test since we are testing error, amd error is not yet fully implemented in
@ -59,7 +59,8 @@ async fn get_document() {
})
);
let (response, code) = index.get_document(0, Some(json!({ "fields": ["id"] }))).await;
let (response, code) =
index.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["id"]) })).await;
assert_eq!(code, 200);
assert_eq!(
response,
@ -68,8 +69,9 @@ async fn get_document() {
})
);
let (response, code) =
index.get_document(0, Some(json!({ "fields": ["nested.content"] }))).await;
let (response, code) = index
.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["nested.content"]) }))
.await;
assert_eq!(code, 200);
assert_eq!(
response,
@ -209,7 +211,7 @@ async fn test_get_all_documents_attributes_to_retrieve() {
let (response, code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["name"]),
attributes_to_retrieve: Some(vec!["name"]),
..Default::default()
})
.await;
@ -223,19 +225,9 @@ async fn test_get_all_documents_attributes_to_retrieve() {
assert_eq!(response["limit"], json!(20));
assert_eq!(response["total"], json!(77));
let (response, code) = index.get_all_documents_raw("?fields=").await;
assert_eq!(code, 200);
assert_eq!(response["results"].as_array().unwrap().len(), 20);
for results in response["results"].as_array().unwrap() {
assert_eq!(results.as_object().unwrap().keys().count(), 0);
}
assert_eq!(response["offset"], json!(0));
assert_eq!(response["limit"], json!(20));
assert_eq!(response["total"], json!(77));
let (response, code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["wrong"]),
attributes_to_retrieve: Some(vec![]),
..Default::default()
})
.await;
@ -250,7 +242,22 @@ async fn test_get_all_documents_attributes_to_retrieve() {
let (response, code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["name", "tags"]),
attributes_to_retrieve: Some(vec!["wrong"]),
..Default::default()
})
.await;
assert_eq!(code, 200);
assert_eq!(response["results"].as_array().unwrap().len(), 20);
for results in response["results"].as_array().unwrap() {
assert_eq!(results.as_object().unwrap().keys().count(), 0);
}
assert_eq!(response["offset"], json!(0));
assert_eq!(response["limit"], json!(20));
assert_eq!(response["total"], json!(77));
let (response, code) = index
.get_all_documents(GetAllDocumentsOptions {
attributes_to_retrieve: Some(vec!["name", "tags"]),
..Default::default()
})
.await;
@ -263,7 +270,10 @@ async fn test_get_all_documents_attributes_to_retrieve() {
}
let (response, code) = index
.get_all_documents(GetAllDocumentsOptions { fields: Some(vec!["*"]), ..Default::default() })
.get_all_documents(GetAllDocumentsOptions {
attributes_to_retrieve: Some(vec!["*"]),
..Default::default()
})
.await;
assert_eq!(code, 200);
assert_eq!(response["results"].as_array().unwrap().len(), 20);
@ -273,7 +283,7 @@ async fn test_get_all_documents_attributes_to_retrieve() {
let (response, code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["*", "wrong"]),
attributes_to_retrieve: Some(vec!["*", "wrong"]),
..Default::default()
})
.await;
@ -306,10 +316,12 @@ async fn get_document_s_nested_attributes_to_retrieve() {
assert_eq!(code, 202);
index.wait_task(1).await;
let (response, code) = index.get_document(0, Some(json!({ "fields": ["content"] }))).await;
let (response, code) =
index.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["content"]) })).await;
assert_eq!(code, 200);
assert_eq!(response, json!({}));
let (response, code) = index.get_document(1, Some(json!({ "fields": ["content"] }))).await;
let (response, code) =
index.get_document(1, Some(GetDocumentOptions { fields: Some(vec!["content"]) })).await;
assert_eq!(code, 200);
assert_eq!(
response,
@ -321,7 +333,9 @@ async fn get_document_s_nested_attributes_to_retrieve() {
})
);
let (response, code) = index.get_document(0, Some(json!({ "fields": ["content.truc"] }))).await;
let (response, code) = index
.get_document(0, Some(GetDocumentOptions { fields: Some(vec!["content.truc"]) }))
.await;
assert_eq!(code, 200);
assert_eq!(
response,
@ -329,7 +343,9 @@ async fn get_document_s_nested_attributes_to_retrieve() {
"content.truc": "foobar",
})
);
let (response, code) = index.get_document(1, Some(json!({ "fields": ["content.truc"] }))).await;
let (response, code) = index
.get_document(1, Some(GetDocumentOptions { fields: Some(vec!["content.truc"]) }))
.await;
assert_eq!(code, 200);
assert_eq!(
response,
@ -524,207 +540,3 @@ async fn get_document_by_filter() {
}
"###);
}
#[actix_rt::test]
async fn get_document_with_vectors() {
let server = Server::new().await;
let index = server.index("doggo");
let (value, code) = server.set_features(json!({"vectorStore": true})).await;
snapshot!(code, @"200 OK");
snapshot!(value, @r###"
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
}
"###);
let (response, code) = index
.update_settings(json!({
"embedders": {
"manual": {
"source": "userProvided",
"dimensions": 3,
}
},
}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await;
let documents = json!([
{"id": 0, "name": "kefir", "_vectors": { "manual": [0, 0, 0] }},
{"id": 1, "name": "echo", "_vectors": { "manual": null }},
]);
let (value, code) = index.add_documents(documents, None).await;
snapshot!(code, @"202 Accepted");
index.wait_task(value.uid()).await;
// by default you shouldn't see the `_vectors` object
let (documents, _code) = index.get_all_documents(Default::default()).await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"id": 0,
"name": "kefir"
},
{
"id": 1,
"name": "echo"
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
let (documents, _code) = index.get_document(0, None).await;
snapshot!(json_string!(documents), @r###"
{
"id": 0,
"name": "kefir"
}
"###);
// if we try to retrieve the vectors with the `fields` parameter they
// still shouldn't be displayed
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["name", "_vectors"]),
..Default::default()
})
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"name": "kefir"
},
{
"name": "echo"
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
let (documents, _code) =
index.get_document(0, Some(json!({"fields": ["name", "_vectors"]}))).await;
snapshot!(json_string!(documents), @r###"
{
"name": "kefir"
}
"###);
// If we specify the retrieve vectors boolean and nothing else we should get the vectors
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"id": 0,
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
0.0,
0.0,
0.0
]
],
"regenerate": false
}
}
},
{
"id": 1,
"name": "echo",
"_vectors": {}
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
let (documents, _code) = index.get_document(0, Some(json!({"retrieveVectors": true}))).await;
snapshot!(json_string!(documents), @r###"
{
"id": 0,
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
0.0,
0.0,
0.0
]
],
"regenerate": false
}
}
}
"###);
// If we specify the retrieve vectors boolean and exclude vectors form the `fields` we should still get the vectors
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions {
retrieve_vectors: true,
fields: Some(vec!["name"]),
..Default::default()
})
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
0.0,
0.0,
0.0
]
],
"regenerate": false
}
}
},
{
"name": "echo",
"_vectors": {}
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
let (documents, _code) =
index.get_document(0, Some(json!({"retrieveVectors": true, "fields": ["name"]}))).await;
snapshot!(json_string!(documents), @r###"
{
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
0.0,
0.0,
0.0
]
],
"regenerate": false
}
}
}
"###);
}

View File

@ -1859,7 +1859,8 @@ async fn import_dump_v6_containing_experimental_features() {
{
"vectorStore": false,
"metrics": false,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
@ -1938,210 +1939,3 @@ async fn import_dump_v6_containing_experimental_features() {
})
.await;
}
// In this test we must generate the dump ourselves to ensure the
// `user provided` vectors are well set
#[actix_rt::test]
#[cfg_attr(target_os = "windows", ignore)]
async fn generate_and_import_dump_containing_vectors() {
let temp = tempfile::tempdir().unwrap();
let mut opt = default_settings(temp.path());
let server = Server::new_with_options(opt.clone()).await.unwrap();
let (code, _) = server.set_features(json!({"vectorStore": true})).await;
snapshot!(code, @r###"
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
}
"###);
let index = server.index("pets");
let (response, code) = index
.update_settings(json!(
{
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.doggo}}",
}
}
}
))
.await;
snapshot!(code, @"202 Accepted");
let response = index.wait_task(response.uid()).await;
snapshot!(response);
let (response, code) = index
.add_documents(
json!([
{"id": 0, "doggo": "kefir", "_vectors": { "doggo_embedder": vec![0; 384] }},
{"id": 1, "doggo": "echo", "_vectors": { "doggo_embedder": { "regenerate": false, "embeddings": vec![1; 384] }}},
{"id": 2, "doggo": "intel", "_vectors": { "doggo_embedder": { "regenerate": true, "embeddings": vec![2; 384] }}},
{"id": 3, "doggo": "bill", "_vectors": { "doggo_embedder": { "regenerate": true }}},
{"id": 4, "doggo": "max" },
]),
None,
)
.await;
snapshot!(code, @"202 Accepted");
let response = index.wait_task(response.uid()).await;
snapshot!(response);
let (response, code) = server.create_dump().await;
snapshot!(code, @"202 Accepted");
let response = index.wait_task(response.uid()).await;
snapshot!(response["status"], @r###""succeeded""###);
// ========= We made a dump, now we should clear the DB and try to import our dump
drop(server);
tokio::fs::remove_dir_all(&opt.db_path).await.unwrap();
let dump_name = format!("{}.dump", response["details"]["dumpUid"].as_str().unwrap());
let dump_path = opt.dump_dir.join(dump_name);
assert!(dump_path.exists(), "path: `{}`", dump_path.display());
opt.import_dump = Some(dump_path);
// NOTE: We shouldn't have to change the database path but I lost one hour
// because of a « bad path » error and that fixed it.
opt.db_path = temp.path().join("data.ms");
let mut server = Server::new_auth_with_options(opt, temp).await;
server.use_api_key("MASTER_KEY");
let (indexes, code) = server.list_indexes(None, None).await;
assert_eq!(code, 200, "{indexes}");
snapshot!(indexes["results"].as_array().unwrap().len(), @"1");
snapshot!(indexes["results"][0]["uid"], @r###""pets""###);
snapshot!(indexes["results"][0]["primaryKey"], @r###""id""###);
let (response, code) = server.get_features().await;
meili_snap::snapshot!(code, @"200 OK");
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
}
"###);
let index = server.index("pets");
let (response, code) = index.settings().await;
meili_snap::snapshot!(code, @"200 OK");
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
{
"displayedAttributes": [
"*"
],
"searchableAttributes": [
"*"
],
"filterableAttributes": [],
"sortableAttributes": [],
"rankingRules": [
"words",
"typo",
"proximity",
"attribute",
"sort",
"exactness"
],
"stopWords": [],
"nonSeparatorTokens": [],
"separatorTokens": [],
"dictionary": [],
"synonyms": {},
"distinctAttribute": null,
"proximityPrecision": "byWord",
"typoTolerance": {
"enabled": true,
"minWordSizeForTypos": {
"oneTypo": 5,
"twoTypos": 9
},
"disableOnWords": [],
"disableOnAttributes": []
},
"faceting": {
"maxValuesPerFacet": 100,
"sortFacetValuesBy": {
"*": "alpha"
}
},
"pagination": {
"maxTotalHits": 1000
},
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.doggo}}"
}
},
"searchCutoffMs": null
}
"###);
index
.search(json!({"retrieveVectors": true}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"], { "[]._vectors.doggo_embedder.embeddings" => "[vector]" }), @r###"
[
{
"id": 0,
"doggo": "kefir",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": false
}
}
},
{
"id": 1,
"doggo": "echo",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": false
}
}
},
{
"id": 2,
"doggo": "intel",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": true
}
}
},
{
"id": 3,
"doggo": "bill",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": true
}
}
},
{
"id": 4,
"doggo": "max",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": true
}
}
}
]
"###);
})
.await;
}

View File

@ -1,25 +0,0 @@
---
source: meilisearch/tests/dumps/mod.rs
---
{
"uid": 0,
"indexUid": "pets",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.doggo}}"
}
}
},
"error": null,
"duration": "[duration]",
"enqueuedAt": "[date]",
"startedAt": "[date]",
"finishedAt": "[date]"
}

View File

@ -1,19 +0,0 @@
---
source: meilisearch/tests/dumps/mod.rs
---
{
"uid": 1,
"indexUid": "pets",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 5,
"indexedDocuments": 5
},
"error": null,
"duration": "[duration]",
"enqueuedAt": "[date]",
"startedAt": "[date]",
"finishedAt": "[date]"
}

View File

@ -20,7 +20,8 @@ async fn experimental_features() {
{
"vectorStore": false,
"metrics": false,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
@ -31,7 +32,8 @@ async fn experimental_features() {
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
@ -42,7 +44,8 @@ async fn experimental_features() {
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
@ -54,7 +57,8 @@ async fn experimental_features() {
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
@ -66,7 +70,8 @@ async fn experimental_features() {
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
}
@ -85,7 +90,8 @@ async fn experimental_feature_metrics() {
{
"vectorStore": false,
"metrics": true,
"logsRoute": false
"logsRoute": false,
"exportPuffinReports": false
}
"###);
@ -140,7 +146,7 @@ async fn errors() {
meili_snap::snapshot!(code, @"400 Bad Request");
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
{
"message": "Unknown field `NotAFeature`: expected one of `vectorStore`, `metrics`, `logsRoute`",
"message": "Unknown field `NotAFeature`: expected one of `vectorStore`, `metrics`, `logsRoute`, `exportPuffinReports`",
"code": "bad_request",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#bad_request"

View File

@ -8,12 +8,10 @@ mod index;
mod logs;
mod search;
mod settings;
mod similar;
mod snapshot;
mod stats;
mod swap_indexes;
mod tasks;
mod vector;
// Tests are isolated by features in different modules to allow better readability, test
// targetability, and improved incremental compilation times.

View File

@ -107,39 +107,6 @@ static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
])
});
static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"id": 1,
"description": "Leather Jacket",
"brand": "Lee Jeans",
"product_id": "123456",
"color": { "main": "Brown", "pattern": "stripped" },
},
{
"id": 2,
"description": "Leather Jacket",
"brand": "Lee Jeans",
"product_id": "123456",
"color": { "main": "Black", "pattern": "stripped" },
},
{
"id": 3,
"description": "Leather Jacket",
"brand": "Lee Jeans",
"product_id": "123456",
"color": { "main": "Blue", "pattern": "used" },
},
{
"id": 4,
"description": "T-Shirt",
"brand": "Nike",
"product_id": "789012",
"color": { "main": "Blue", "pattern": "stripped" },
}
])
});
static DOCUMENT_PRIMARY_KEY: &str = "id";
static DOCUMENT_DISTINCT_KEY: &str = "product_id";
@ -272,35 +239,3 @@ async fn distinct_search_with_pagination_no_ranking() {
snapshot!(response["totalPages"], @"2");
snapshot!(response["totalHits"], @"6");
}
#[actix_rt::test]
async fn distinct_at_search_time() {
let server = Server::new().await;
let index = server.index("tamo");
let documents = NESTED_DOCUMENTS.clone();
index.add_documents(documents, Some(DOCUMENT_PRIMARY_KEY)).await;
let (task, _) = index.update_settings_filterable_attributes(json!(["color.main"])).await;
let task = index.wait_task(task.uid()).await;
snapshot!(task, name: "succeed");
fn get_hits(response: &Value) -> Vec<String> {
let hits_array = response["hits"]
.as_array()
.unwrap_or_else(|| panic!("{}", &serde_json::to_string_pretty(&response).unwrap()));
hits_array
.iter()
.map(|h| h[DOCUMENT_PRIMARY_KEY].as_number().unwrap().to_string())
.collect::<Vec<_>>()
}
let (response, code) =
index.search_post(json!({"page": 1, "hitsPerPage": 3, "distinct": "color.main"})).await;
let hits = get_hits(&response);
snapshot!(code, @"200 OK");
snapshot!(hits.len(), @"3");
snapshot!(format!("{:?}", hits), @r###"["1", "2", "3"]"###);
snapshot!(response["page"], @"1");
snapshot!(response["totalPages"], @"1");
snapshot!(response["totalHits"], @"3");
}

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