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Airbyte based loaders #8586

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226 changes: 226 additions & 0 deletions docs/extras/integrations/document_loaders/airbyte_cdk.ipynb
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{
"cells": [
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"cell_type": "markdown",
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"source": [
"# Airbyte CDK"
]
},
{
"cell_type": "markdown",
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">[Airbyte](https://github.com/airbytehq/airbyte) is a data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. It has the largest catalog of ELT connectors to data warehouses and databases.\n",
"\n",
"A lot of source connectors are implemented using the [Airbyte CDK](https://docs.airbyte.com/connector-development/cdk-python/). This loader allows to run any of these connectors and return the data as documents."
]
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"source": [
"## Installation"
]
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"source": [
"First, you need to install the `airbyte-cdk` python package."
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"source": [
"#!pip install airbyte-cdk"
]
},
{
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"source": [
"Then, either install an existing connector from the [Airbyte Github repository](https://github.com/airbytehq/airbyte/tree/master/airbyte-integrations/connectors) or create your own connector using the [Airbyte CDK](https://docs.airbyte.io/connector-development/connector-development).\n",
"\n",
"For example, to install the Github connector, run"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f6d04ef4",
"metadata": {},
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"source": [
"#!pip install \"source_github@git+https://github.com/airbytehq/airbyte.git@master#subdirectory=airbyte-integrations/connectors/source-github\""

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Should these be updated to reference the PyPI connectors?

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No, for those they should use the other loaders, this is basically the "escape hatch"

]
},
{
"cell_type": "markdown",
"id": "36069b74",
"metadata": {},
"source": [
"Some sources are also published as regular packages on PyPI"
]
},
{
"cell_type": "markdown",
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"source": [
"## Example"
]
},
{
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"id": "02208f52",
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"Now you can create an `AirbyteCDKLoader` based on the imported source. It takes a `config` object that's passed to the connector. You also have to pick the stream you want to retrieve records from by name (`stream_name`). Check the connectors documentation page and spec definition for more information on the config object and available streams. For the Github connectors these are:\n",
"* [https://github.com/airbytehq/airbyte/blob/master/airbyte-integrations/connectors/source-github/source_github/spec.json](https://github.com/airbytehq/airbyte/blob/master/airbyte-integrations/connectors/source-github/source_github/spec.json).\n",
"* [https://docs.airbyte.com/integrations/sources/github/](https://docs.airbyte.com/integrations/sources/github/)"
]
},
{
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"outputs": [],
"source": [
"\n",
"from langchain.document_loaders.airbyte import AirbyteCDKLoader\n",
"from source_github.source import SourceGithub # plug in your own source here\n",
"\n",
"config = {\n",
" # your github configuration\n",
" \"credentials\": {\n",
" \"api_url\": \"api.github.com\",\n",
" \"personal_access_token\": \"<token>\"\n",
" },\n",
" \"repository\": \"<repo>\",\n",
" \"start_date\": \"<date from which to start retrieving records from in ISO format, e.g. 2020-10-20T00:00:00Z>\"\n",
"}\n",
"\n",
"issues_loader = AirbyteCDKLoader(source_class=SourceGithub, config=config, stream_name=\"issues\")"
]
},
{
"cell_type": "markdown",
"id": "2cea23fc",
"metadata": {},
"source": [
"Now you can load documents the usual way"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dae75cdb",
"metadata": {},
"outputs": [],
"source": [
"docs = issues_loader.load()"
]
},
{
"cell_type": "markdown",
"id": "4a93dc2a",
"metadata": {},
"source": [
"As `load` returns a list, it will block until all documents are loaded. To have better control over this process, you can also you the `lazy_load` method which returns an iterator instead:"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1782db09",
"metadata": {},
"outputs": [],
"source": [
"docs_iterator = issues_loader.lazy_load()"
]
},
{
"cell_type": "markdown",
"id": "3a124086",
"metadata": {},
"source": [
"Keep in mind that by default the page content is empty and the metadata object contains all the information from the record. To create documents in a different, pass in a record_handler function when creating the loader:"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5671395d",
"metadata": {},
"outputs": [],
"source": [
"from langchain.docstore.document import Document\n",
"\n",
"def handle_record(record, id):\n",
" return Document(page_content=record.data[\"title\"] + \"\\n\" + (record.data[\"body\"] or \"\"), metadata=record.data)\n",
"\n",
"issues_loader = AirbyteCDKLoader(source_class=SourceGithub, config=config, stream_name=\"issues\", record_handler=handle_record)\n",
"\n",
"docs = issues_loader.load()"
]
},
{
"cell_type": "markdown",
"id": "223eb8bc",
"metadata": {},
"source": [
"## Incremental loads\n",
"\n",
"Some streams allow incremental loading, this means the source keeps track of synced records and won't load them again. This is useful for sources that have a high volume of data and are updated frequently.\n",
"\n",
"To take advantage of this, store the `last_state` property of the loader and pass it in when creating the loader again. This will ensure that only new records are loaded."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7061e735",
"metadata": {},
"outputs": [],
"source": [
"last_state = issues_loader.last_state # store safely\n",
"\n",
"incremental_issue_loader = AirbyteCDKLoader(source_class=SourceGithub, config=config, stream_name=\"issues\", state=last_state)\n",
"\n",
"new_docs = incremental_issue_loader.load()"
]
}
],
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