mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
nits (#2873)
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parent
0a38bbc750
commit
8fef69296d
@ -1,7 +1,6 @@
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{
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{
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"cells": [
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"cells": [
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{
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{
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"attachments": {},
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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@ -11,7 +10,6 @@
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]
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]
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},
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},
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{
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{
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"attachments": {},
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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@ -38,7 +36,7 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from langchain.document_loaders.git import GitLoader"
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"from langchain.document_loaders import GitLoader"
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]
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]
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},
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},
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{
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{
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@ -109,7 +107,7 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from langchain.document_loaders.git import GitLoader"
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"from langchain.document_loaders import GitLoader"
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]
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]
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},
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},
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{
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{
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@ -164,7 +162,7 @@
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],
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],
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"metadata": {
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"metadata": {
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"kernelspec": {
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"kernelspec": {
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"display_name": "ai",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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},
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@ -178,9 +176,8 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.9.6"
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"version": "3.9.1"
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},
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}
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"orig_nbformat": 4
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 2
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@ -65,11 +65,7 @@ class SQLDatabaseChain(Chain):
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return [self.output_key, "intermediate_steps"]
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return [self.output_key, "intermediate_steps"]
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def _call(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
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def _call(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
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try:
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prompt = self.prompt or SQL_PROMPTS.get(self.database.dialect, PROMPT)
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prompt = self.prompt or SQL_PROMPTS[self.database.dialect]
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except KeyError:
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# fallback to generic prompt if dialect-specific prompt doesn't exist yet
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prompt = PROMPT
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llm_chain = LLMChain(llm=self.llm, prompt=prompt)
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llm_chain = LLMChain(llm=self.llm, prompt=prompt)
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input_text = f"{inputs[self.input_key]}\nSQLQuery:"
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input_text = f"{inputs[self.input_key]}\nSQLQuery:"
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self.callback_manager.on_text(input_text, verbose=self.verbose)
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self.callback_manager.on_text(input_text, verbose=self.verbose)
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@ -27,6 +27,7 @@ from langchain.document_loaders.evernote import EverNoteLoader
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from langchain.document_loaders.facebook_chat import FacebookChatLoader
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from langchain.document_loaders.facebook_chat import FacebookChatLoader
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from langchain.document_loaders.gcs_directory import GCSDirectoryLoader
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from langchain.document_loaders.gcs_directory import GCSDirectoryLoader
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from langchain.document_loaders.gcs_file import GCSFileLoader
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from langchain.document_loaders.gcs_file import GCSFileLoader
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from langchain.document_loaders.git import GitLoader
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from langchain.document_loaders.gitbook import GitbookLoader
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from langchain.document_loaders.gitbook import GitbookLoader
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from langchain.document_loaders.googledrive import GoogleDriveLoader
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from langchain.document_loaders.googledrive import GoogleDriveLoader
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from langchain.document_loaders.gutenberg import GutenbergLoader
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from langchain.document_loaders.gutenberg import GutenbergLoader
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@ -142,4 +143,5 @@ __all__ = [
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"BigQueryLoader",
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"BigQueryLoader",
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"BiliBiliLoader",
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"BiliBiliLoader",
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"SlackDirectoryLoader",
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"SlackDirectoryLoader",
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"GitLoader",
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]
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]
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