chore: import upstream snapshot with attribution
CodeQL / Analyze (python) (push) Has been cancelled
Update Platform Components Table / update (push) Has been cancelled
Docker image release / Build base image (push) Has been cancelled
Sync docs with Docusaurus / sync (push) Has been cancelled
Tests / Check if changed (push) Has been cancelled
Tests / format (push) Has been cancelled
Tests / check-imports (push) Has been cancelled
Tests / Unit / macos-latest (push) Has been cancelled
Tests / Unit / ubuntu-latest (push) Has been cancelled
Tests / Unit / windows-latest (push) Has been cancelled
Tests / mypy (push) Has been cancelled
Tests / Integration / ubuntu-latest (push) Has been cancelled
Tests / Integration / macos-latest (push) Has been cancelled
Tests / Integration / windows-latest (push) Has been cancelled
Tests / notify-slack-on-failure (push) Has been cancelled
Tests / Mark tests as completed (push) Has been cancelled

This commit is contained in:
wehub-resource-sync
2026-07-13 13:22:28 +08:00
commit c56bef871b
9296 changed files with 1854228 additions and 0 deletions
@@ -0,0 +1,109 @@
---
title: Caching
id: caching-api
description: Checks if any document coming from the given URL is already present in the store.
slug: "/caching-api"
---
<a id="cache_checker"></a>
# Module cache\_checker
<a id="cache_checker.CacheChecker"></a>
## CacheChecker
Checks for the presence of documents in a Document Store based on a specified field in each document's metadata.
If matching documents are found, they are returned as "hits". If not found in the cache, the items
are returned as "misses".
### Usage example
```python
from haystack import Document
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack.components.caching.cache_checker import CacheChecker
docstore = InMemoryDocumentStore()
documents = [
Document(content="doc1", meta={"url": "https://example.com/1"}),
Document(content="doc2", meta={"url": "https://example.com/2"}),
Document(content="doc3", meta={"url": "https://example.com/1"}),
Document(content="doc4", meta={"url": "https://example.com/2"}),
]
docstore.write_documents(documents)
checker = CacheChecker(docstore, cache_field="url")
results = checker.run(items=["https://example.com/1", "https://example.com/5"])
assert results == {"hits": [documents[0], documents[2]], "misses": ["https://example.com/5"]}
```
<a id="cache_checker.CacheChecker.__init__"></a>
#### CacheChecker.\_\_init\_\_
```python
def __init__(document_store: DocumentStore, cache_field: str)
```
Creates a CacheChecker component.
**Arguments**:
- `document_store`: Document Store to check for the presence of specific documents.
- `cache_field`: Name of the document's metadata field
to check for cache hits.
<a id="cache_checker.CacheChecker.to_dict"></a>
#### CacheChecker.to\_dict
```python
def to_dict() -> dict[str, Any]
```
Serializes the component to a dictionary.
**Returns**:
Dictionary with serialized data.
<a id="cache_checker.CacheChecker.from_dict"></a>
#### CacheChecker.from\_dict
```python
@classmethod
def from_dict(cls, data: dict[str, Any]) -> "CacheChecker"
```
Deserializes the component from a dictionary.
**Arguments**:
- `data`: Dictionary to deserialize from.
**Returns**:
Deserialized component.
<a id="cache_checker.CacheChecker.run"></a>
#### CacheChecker.run
```python
@component.output_types(hits=list[Document], misses=list)
def run(items: list[Any])
```
Checks if any document associated with the specified cache field is already present in the store.
**Arguments**:
- `items`: Values to be checked against the cache field.
**Returns**:
A dictionary with two keys:
- `hits` - Documents that matched with at least one of the items.
- `misses` - Items that were not present in any documents.