diff --git a/docs/modules/indexes/document_loaders/examples/file_directory.ipynb b/docs/modules/indexes/document_loaders/examples/file_directory.ipynb
index 117284ca..9de99964 100644
--- a/docs/modules/indexes/document_loaders/examples/file_directory.ipynb
+++ b/docs/modules/indexes/document_loaders/examples/file_directory.ipynb
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"id": "019d8520",
"metadata": {},
"outputs": [],
@@ -123,7 +123,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 15,
"id": "81c92da3",
"metadata": {},
"outputs": [],
@@ -182,7 +182,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 14,
"id": "c558bd73",
"metadata": {},
"outputs": [],
@@ -231,13 +231,292 @@
"len(docs)"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "6411a0cb",
+ "metadata": {},
+ "source": [
+ "## Auto detect file encodings with TextLoader\n",
+ "\n",
+ "In this example we will see some strategies that can be useful when loading a big list of arbitrary files from a directory using the `TextLoader` class.\n",
+ "\n",
+ "First to illustrate the problem, let's try to load multiple text with arbitrary encodings."
+ ]
+ },
{
"cell_type": "code",
- "execution_count": null,
- "id": "6a91a0bc",
+ "execution_count": 16,
+ "id": "2c787a69",
"metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "path = '../../../../../tests/integration_tests/examples'\n",
+ "loader = DirectoryLoader(path, glob=\"**/*.txt\", loader_cls=TextLoader)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e9001e12",
+ "metadata": {},
+ "source": [
+ "### A. Default Behavior"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "b1e88c31",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮\n",
+ "│ /data/source/langchain/langchain/document_loaders/text.py:29 in load │\n",
+ "│ │\n",
+ "│ 26 │ │ text = \"\" │\n",
+ "│ 27 │ │ with open(self.file_path, encoding=self.encoding) as f: │\n",
+ "│ 28 │ │ │ try: │\n",
+ "│ ❱ 29 │ │ │ │ text = f.read() │\n",
+ "│ 30 │ │ │ except UnicodeDecodeError as e: │\n",
+ "│ 31 │ │ │ │ if self.autodetect_encoding: │\n",
+ "│ 32 │ │ │ │ │ detected_encodings = self.detect_file_encodings() │\n",
+ "│ │\n",
+ "│ /home/spike/.pyenv/versions/3.9.11/lib/python3.9/codecs.py:322 in decode │\n",
+ "│ │\n",
+ "│ 319 │ def decode(self, input, final=False): │\n",
+ "│ 320 │ │ # decode input (taking the buffer into account) │\n",
+ "│ 321 │ │ data = self.buffer + input │\n",
+ "│ ❱ 322 │ │ (result, consumed) = self._buffer_decode(data, self.errors, final) │\n",
+ "│ 323 │ │ # keep undecoded input until the next call │\n",
+ "│ 324 │ │ self.buffer = data[consumed:] │\n",
+ "│ 325 │ │ return result │\n",
+ "╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
+ "UnicodeDecodeError: 'utf-8' codec can't decode byte 0xca in position 0: invalid continuation byte\n",
+ "\n",
+ "The above exception was the direct cause of the following exception:\n",
+ "\n",
+ "╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮\n",
+ "│ in <module>:1 │\n",
+ "│ │\n",
+ "│ ❱ 1 loader.load() │\n",
+ "│ 2 │\n",
+ "│ │\n",
+ "│ /data/source/langchain/langchain/document_loaders/directory.py:84 in load │\n",
+ "│ │\n",
+ "│ 81 │ │ │ │ │ │ if self.silent_errors: │\n",
+ "│ 82 │ │ │ │ │ │ │ logger.warning(e) │\n",
+ "│ 83 │ │ │ │ │ │ else: │\n",
+ "│ ❱ 84 │ │ │ │ │ │ │ raise e │\n",
+ "│ 85 │ │ │ │ │ finally: │\n",
+ "│ 86 │ │ │ │ │ │ if pbar: │\n",
+ "│ 87 │ │ │ │ │ │ │ pbar.update(1) │\n",
+ "│ │\n",
+ "│ /data/source/langchain/langchain/document_loaders/directory.py:78 in load │\n",
+ "│ │\n",
+ "│ 75 │ │ │ if i.is_file(): │\n",
+ "│ 76 │ │ │ │ if _is_visible(i.relative_to(p)) or self.load_hidden: │\n",
+ "│ 77 │ │ │ │ │ try: │\n",
+ "│ ❱ 78 │ │ │ │ │ │ sub_docs = self.loader_cls(str(i), **self.loader_kwargs).load() │\n",
+ "│ 79 │ │ │ │ │ │ docs.extend(sub_docs) │\n",
+ "│ 80 │ │ │ │ │ except Exception as e: │\n",
+ "│ 81 │ │ │ │ │ │ if self.silent_errors: │\n",
+ "│ │\n",
+ "│ /data/source/langchain/langchain/document_loaders/text.py:44 in load │\n",
+ "│ │\n",
+ "│ 41 │ │ │ │ │ │ except UnicodeDecodeError: │\n",
+ "│ 42 │ │ │ │ │ │ │ continue │\n",
+ "│ 43 │ │ │ │ else: │\n",
+ "│ ❱ 44 │ │ │ │ │ raise RuntimeError(f\"Error loading {self.file_path}\") from e │\n",
+ "│ 45 │ │ │ except Exception as e: │\n",
+ "│ 46 │ │ │ │ raise RuntimeError(f\"Error loading {self.file_path}\") from e │\n",
+ "│ 47 │\n",
+ "╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
+ "RuntimeError: Error loading ../../../../../tests/integration_tests/examples/example-non-utf8.txt\n",
+ "\n"
+ ],
+ "text/plain": [
+ "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2;33m/data/source/langchain/langchain/document_loaders/\u001b[0m\u001b[1;33mtext.py\u001b[0m:\u001b[94m29\u001b[0m in \u001b[92mload\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m26 \u001b[0m\u001b[2m│ │ \u001b[0mtext = \u001b[33m\"\u001b[0m\u001b[33m\"\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m27 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mwith\u001b[0m \u001b[96mopen\u001b[0m(\u001b[96mself\u001b[0m.file_path, encoding=\u001b[96mself\u001b[0m.encoding) \u001b[94mas\u001b[0m f: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m28 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m29 \u001b[2m│ │ │ │ \u001b[0mtext = f.read() \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m30 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mUnicodeDecodeError\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m31 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94mif\u001b[0m \u001b[96mself\u001b[0m.autodetect_encoding: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m32 \u001b[0m\u001b[2m│ │ │ │ │ \u001b[0mdetected_encodings = \u001b[96mself\u001b[0m.detect_file_encodings() \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2;33m/home/spike/.pyenv/versions/3.9.11/lib/python3.9/\u001b[0m\u001b[1;33mcodecs.py\u001b[0m:\u001b[94m322\u001b[0m in \u001b[92mdecode\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m 319 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mdef\u001b[0m \u001b[92mdecode\u001b[0m(\u001b[96mself\u001b[0m, \u001b[96minput\u001b[0m, final=\u001b[94mFalse\u001b[0m): \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m 320 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[2m# decode input (taking the buffer into account)\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m 321 \u001b[0m\u001b[2m│ │ \u001b[0mdata = \u001b[96mself\u001b[0m.buffer + \u001b[96minput\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 322 \u001b[2m│ │ \u001b[0m(result, consumed) = \u001b[96mself\u001b[0m._buffer_decode(data, \u001b[96mself\u001b[0m.errors, final) \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m 323 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[2m# keep undecoded input until the next call\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m 324 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[96mself\u001b[0m.buffer = data[consumed:] \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m 325 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mreturn\u001b[0m result \u001b[31m│\u001b[0m\n",
+ "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
+ "\u001b[1;91mUnicodeDecodeError: \u001b[0m\u001b[32m'utf-8'\u001b[0m codec can't decode byte \u001b[1;36m0xca\u001b[0m in position \u001b[1;36m0\u001b[0m: invalid continuation byte\n",
+ "\n",
+ "\u001b[3mThe above exception was the direct cause of the following exception:\u001b[0m\n",
+ "\n",
+ "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n",
+ "\u001b[31m│\u001b[0m in \u001b[92m\u001b[0m:\u001b[94m1\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m1 loader.load() \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m2 \u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2;33m/data/source/langchain/langchain/document_loaders/\u001b[0m\u001b[1;33mdirectory.py\u001b[0m:\u001b[94m84\u001b[0m in \u001b[92mload\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m81 \u001b[0m\u001b[2m│ │ │ │ │ │ \u001b[0m\u001b[94mif\u001b[0m \u001b[96mself\u001b[0m.silent_errors: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m82 \u001b[0m\u001b[2m│ │ │ │ │ │ │ \u001b[0mlogger.warning(e) \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m83 \u001b[0m\u001b[2m│ │ │ │ │ │ \u001b[0m\u001b[94melse\u001b[0m: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m84 \u001b[2m│ │ │ │ │ │ │ \u001b[0m\u001b[94mraise\u001b[0m e \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m85 \u001b[0m\u001b[2m│ │ │ │ │ \u001b[0m\u001b[94mfinally\u001b[0m: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m86 \u001b[0m\u001b[2m│ │ │ │ │ │ \u001b[0m\u001b[94mif\u001b[0m pbar: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m87 \u001b[0m\u001b[2m│ │ │ │ │ │ │ \u001b[0mpbar.update(\u001b[94m1\u001b[0m) \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2;33m/data/source/langchain/langchain/document_loaders/\u001b[0m\u001b[1;33mdirectory.py\u001b[0m:\u001b[94m78\u001b[0m in \u001b[92mload\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m75 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mif\u001b[0m i.is_file(): \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m76 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94mif\u001b[0m _is_visible(i.relative_to(p)) \u001b[95mor\u001b[0m \u001b[96mself\u001b[0m.load_hidden: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m77 \u001b[0m\u001b[2m│ │ │ │ │ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m78 \u001b[2m│ │ │ │ │ │ \u001b[0msub_docs = \u001b[96mself\u001b[0m.loader_cls(\u001b[96mstr\u001b[0m(i), **\u001b[96mself\u001b[0m.loader_kwargs).load() \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m79 \u001b[0m\u001b[2m│ │ │ │ │ │ \u001b[0mdocs.extend(sub_docs) \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m80 \u001b[0m\u001b[2m│ │ │ │ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mException\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m81 \u001b[0m\u001b[2m│ │ │ │ │ │ \u001b[0m\u001b[94mif\u001b[0m \u001b[96mself\u001b[0m.silent_errors: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2;33m/data/source/langchain/langchain/document_loaders/\u001b[0m\u001b[1;33mtext.py\u001b[0m:\u001b[94m44\u001b[0m in \u001b[92mload\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m41 \u001b[0m\u001b[2m│ │ │ │ │ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mUnicodeDecodeError\u001b[0m: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m42 \u001b[0m\u001b[2m│ │ │ │ │ │ │ \u001b[0m\u001b[94mcontinue\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m43 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94melse\u001b[0m: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m44 \u001b[2m│ │ │ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mRuntimeError\u001b[0m(\u001b[33mf\u001b[0m\u001b[33m\"\u001b[0m\u001b[33mError loading \u001b[0m\u001b[33m{\u001b[0m\u001b[96mself\u001b[0m.file_path\u001b[33m}\u001b[0m\u001b[33m\"\u001b[0m) \u001b[94mfrom\u001b[0m \u001b[4;96me\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m45 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mException\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m46 \u001b[0m\u001b[2m│ │ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mRuntimeError\u001b[0m(\u001b[33mf\u001b[0m\u001b[33m\"\u001b[0m\u001b[33mError loading \u001b[0m\u001b[33m{\u001b[0m\u001b[96mself\u001b[0m.file_path\u001b[33m}\u001b[0m\u001b[33m\"\u001b[0m) \u001b[94mfrom\u001b[0m \u001b[4;96me\u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m│\u001b[0m \u001b[2m47 \u001b[0m \u001b[31m│\u001b[0m\n",
+ "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
+ "\u001b[1;91mRuntimeError: \u001b[0mError loading ..\u001b[35m/../../../../tests/integration_tests/examples/\u001b[0m\u001b[95mexample-non-utf8.txt\u001b[0m\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "loader.load()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "da554f9a",
+ "metadata": {},
+ "source": [
+ "The file `example-non-utf8.txt` uses a different encoding the `load()` function fails with a helpful message indicating which file failed decoding. \n",
+ "\n",
+ "With the default behavior of `TextLoader` any failure to load any of the documents will fail the whole loading process and no documents are loaded. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "eb844b7e",
+ "metadata": {},
+ "source": [
+ "### B. Silent fail\n",
+ "\n",
+ "We can pass the parameter `silent_errors` to the `DirectoryLoader` to skip the files which could not be loaded and continue the load process."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "5314ec39",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Error loading ../../../../../tests/integration_tests/examples/example-non-utf8.txt\n"
+ ]
+ }
+ ],
+ "source": [
+ "loader = DirectoryLoader(path, glob=\"**/*.txt\", loader_cls=TextLoader, silent_errors=True)\n",
+ "docs = loader.load()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "216337e5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['../../../../../tests/integration_tests/examples/whatsapp_chat.txt',\n",
+ " '../../../../../tests/integration_tests/examples/example-utf8.txt']"
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "doc_sources = [doc.metadata['source'] for doc in docs]\n",
+ "doc_sources"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4cba0e53",
+ "metadata": {},
+ "source": [
+ "### C. Auto detect encodings\n",
+ "\n",
+ "We can also ask `TextLoader` to auto detect the file encoding before failing, by passing the `autodetect_encoding` to the loader class."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "96d527d2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "text_loader_kwargs={'autodetect_encoding': True}\n",
+ "loader = DirectoryLoader(path, glob=\"**/*.txt\", loader_cls=TextLoader, loader_kwargs=text_loader_kwargs)\n",
+ "docs = loader.load()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "f1a136a5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['../../../../../tests/integration_tests/examples/example-non-utf8.txt',\n",
+ " '../../../../../tests/integration_tests/examples/whatsapp_chat.txt',\n",
+ " '../../../../../tests/integration_tests/examples/example-utf8.txt']"
+ ]
+ },
+ "execution_count": 38,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "doc_sources = [doc.metadata['source'] for doc in docs]\n",
+ "doc_sources"
+ ]
}
],
"metadata": {
@@ -256,7 +535,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.6"
+ "version": "3.9.11"
}
},
"nbformat": 4,
diff --git a/langchain/document_loaders/text.py b/langchain/document_loaders/text.py
index ce7913d6..b4e435eb 100644
--- a/langchain/document_loaders/text.py
+++ b/langchain/document_loaders/text.py
@@ -1,20 +1,62 @@
-from typing import List, Optional
+import logging
+from typing import List, Optional, cast
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
+logger = logging.getLogger(__name__)
+
class TextLoader(BaseLoader):
"""Load text files."""
- def __init__(self, file_path: str, encoding: Optional[str] = None):
+ def __init__(
+ self,
+ file_path: str,
+ encoding: Optional[str] = None,
+ autodetect_encoding: bool = False,
+ ):
"""Initialize with file path."""
self.file_path = file_path
self.encoding = encoding
+ self.autodetect_encoding = autodetect_encoding
def load(self) -> List[Document]:
"""Load from file path."""
+ text = ""
with open(self.file_path, encoding=self.encoding) as f:
- text = f.read()
+ try:
+ text = f.read()
+ except UnicodeDecodeError as e:
+ if self.autodetect_encoding:
+ detected_encodings = self.detect_file_encodings()
+ for encoding in detected_encodings:
+ logger.debug("Trying encoding: ", encoding["encoding"])
+ try:
+ with open(
+ self.file_path, encoding=encoding["encoding"]
+ ) as f:
+ text = f.read()
+ break
+ except UnicodeDecodeError:
+ continue
+ else:
+ raise RuntimeError(f"Error loading {self.file_path}") from e
+ except Exception as e:
+ raise RuntimeError(f"Error loading {self.file_path}") from e
+
metadata = {"source": self.file_path}
return [Document(page_content=text, metadata=metadata)]
+
+ def detect_file_encodings(self, timeout: int = 5) -> List[dict]:
+ """Try to detect the file encoding."""
+ import chardet
+
+ with open(self.file_path, "rb") as f:
+ rawdata = f.read()
+ encodings = chardet.detect_all(rawdata)
+
+ if all(encoding["encoding"] is None for encoding in encodings):
+ raise RuntimeError(f"Could not detect encoding for {self.file_path}")
+ res = [encoding for encoding in encodings if encoding["encoding"] is not None]
+ return cast(List[dict], res)
diff --git a/poetry.lock b/poetry.lock
index 58342d0c..d84f3f91 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -14,14 +14,14 @@ files = [
[[package]]
name = "aioboto3"
-version = "11.1.0"
+version = "11.2.0"
description = "Async boto3 wrapper"
category = "main"
optional = false
python-versions = ">=3.7,<4.0"
files = [
- {file = "aioboto3-11.1.0-py3-none-any.whl", hash = "sha256:9c32b0d89c41f7dbc55e96af49335377b2890d98f395a963a6e671f7b10268f6"},
- {file = "aioboto3-11.1.0.tar.gz", hash = "sha256:ebdca2655b28571ab0dcda486e2cbd9d65d50c677c03f655781377950023c618"},
+ {file = "aioboto3-11.2.0-py3-none-any.whl", hash = "sha256:df4b83c3943b009a4dcd9f397f9f0491a374511b1ef37545082a771ca1e549fb"},
+ {file = "aioboto3-11.2.0.tar.gz", hash = "sha256:c7f6234fd73efcb60ab6fca383fec33bb6352ca1832f252eac810cd6674f1748"},
]
[package.dependencies]
@@ -289,14 +289,14 @@ types = ["mypy", "types-Pillow", "types-requests"]
[[package]]
name = "anthropic"
-version = "0.2.7"
+version = "0.2.8"
description = "Library for accessing the anthropic API"
category = "main"
optional = true
python-versions = ">=3.8"
files = [
- {file = "anthropic-0.2.7-py3-none-any.whl", hash = "sha256:b5d807b54c43ad4812a82b8389412507d62574b06af79c25dc2433233f1ab50f"},
- {file = "anthropic-0.2.7.tar.gz", hash = "sha256:dafdd617c79122bb97bc53634519e8dcba17b7e765a5a2372c77f6e3744127e5"},
+ {file = "anthropic-0.2.8-py3-none-any.whl", hash = "sha256:7a11da8a3d8cb52835912e73d42e9245e7949155f4afb7093496f100a9bf610b"},
+ {file = "anthropic-0.2.8.tar.gz", hash = "sha256:d2629d7e26415bcce2ed0fdff0096a3fdd861099a73a1351ee705511d1c2ea6e"},
]
[package.dependencies]
@@ -603,20 +603,20 @@ azure-core = ">=1.23.0,<2.0.0"
[[package]]
name = "azure-identity"
-version = "1.12.0"
+version = "1.13.0"
description = "Microsoft Azure Identity Library for Python"
category = "main"
optional = true
python-versions = ">=3.7"
files = [
- {file = "azure-identity-1.12.0.zip", hash = "sha256:7f9b1ae7d97ea7af3f38dd09305e19ab81a1e16ab66ea186b6579d85c1ca2347"},
- {file = "azure_identity-1.12.0-py3-none-any.whl", hash = "sha256:2a58ce4a209a013e37eaccfd5937570ab99e9118b3e1acf875eed3a85d541b92"},
+ {file = "azure-identity-1.13.0.zip", hash = "sha256:c931c27301ffa86b07b4dcf574e29da73e3deba9ab5d1fe4f445bb6a3117e260"},
+ {file = "azure_identity-1.13.0-py3-none-any.whl", hash = "sha256:bd700cebb80cd9862098587c29d8677e819beca33c62568ced6d5a8e5e332b82"},
]
[package.dependencies]
azure-core = ">=1.11.0,<2.0.0"
cryptography = ">=2.5"
-msal = ">=1.12.0,<2.0.0"
+msal = ">=1.20.0,<2.0.0"
msal-extensions = ">=0.3.0,<2.0.0"
six = ">=1.12.0"
@@ -970,6 +970,18 @@ files = [
[package.dependencies]
pycparser = "*"
+[[package]]
+name = "chardet"
+version = "5.1.0"
+description = "Universal encoding detector for Python 3"
+category = "main"
+optional = true
+python-versions = ">=3.7"
+files = [
+ {file = "chardet-5.1.0-py3-none-any.whl", hash = "sha256:362777fb014af596ad31334fde1e8c327dfdb076e1960d1694662d46a6917ab9"},
+ {file = "chardet-5.1.0.tar.gz", hash = "sha256:0d62712b956bc154f85fb0a266e2a3c5913c2967e00348701b32411d6def31e5"},
+]
+
[[package]]
name = "charset-normalizer"
version = "3.1.0"
@@ -1057,14 +1069,14 @@ files = [
[[package]]
name = "chromadb"
-version = "0.3.21"
+version = "0.3.22"
description = "Chroma."
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
- {file = "chromadb-0.3.21-py3-none-any.whl", hash = "sha256:b497516ef403d357944742b2363eb729019d68ec0d1a7062a6abe8e127ccf28f"},
- {file = "chromadb-0.3.21.tar.gz", hash = "sha256:7b3417892666dc90df10eafae719ee189037c448c1c96e6c7964daa870483c3a"},
+ {file = "chromadb-0.3.22-py3-none-any.whl", hash = "sha256:54b58e562ab8a63194ce3b453633ce351475193de2184845f0577db969f1cf49"},
+ {file = "chromadb-0.3.22.tar.gz", hash = "sha256:41acb262c2c7bb41afecd50737f440dce3fdaa3d3fe1749d0e4be1ffc8699e63"},
]
[package.dependencies]
@@ -1078,6 +1090,7 @@ posthog = ">=2.4.0"
pydantic = ">=1.9"
requests = ">=2.28"
sentence-transformers = ">=2.2.2"
+typing-extensions = ">=4.5.0"
uvicorn = {version = ">=0.18.3", extras = ["standard"]}
[[package]]
@@ -1097,77 +1110,77 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "clickhouse-connect"
-version = "0.5.23"
+version = "0.5.24"
description = "ClickHouse core driver, SqlAlchemy, and Superset libraries"
category = "main"
optional = false
python-versions = "~=3.7"
files = [
- {file = "clickhouse-connect-0.5.23.tar.gz", hash = "sha256:d4c48f2b05807720a638df4e8f8e71d45a6eb548c6183b44782270631a34b849"},
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+version = "3.4.3"
description = "Activeloop Deep Lake"
category = "main"
optional = false
python-versions = "*"
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tqdm = "*"
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av = ["av (>=8.1.0)"]
dicom = ["nibabel", "pydicom"]
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gcp = ["google-auth (>=2.0.1,<2.1.0)", "google-auth-oauthlib (>=0.4.5,<0.5.0)", "google-cloud-storage (>=1.42.0,<1.43.0)"]
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medical = ["nibabel", "pydicom"]
@@ -1560,14 +1573,14 @@ wmi = ["wmi (>=1.5.1,<2.0.0)"]
[[package]]
name = "docarray"
-version = "0.31.0"
+version = "0.31.1"
description = "The data structure for multimodal data"
category = "main"
optional = true
python-versions = ">=3.7,<4.0"
files = [
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@@ -1597,14 +1610,14 @@ web = ["fastapi (>=0.87.0)"]
[[package]]
name = "docker"
-version = "6.1.1"
+version = "6.1.2"
description = "A Python library for the Docker Engine API."
category = "main"
optional = true
python-versions = ">=3.7"
files = [
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[package.dependencies]
@@ -1688,20 +1701,20 @@ files = [
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name = "duckdb-engine"
-version = "0.7.0"
+version = "0.7.1"
description = "SQLAlchemy driver for duckdb"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
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duckdb = ">=0.4.0"
numpy = "*"
-sqlalchemy = ">=1.3.19"
+sqlalchemy = ">=1.3.22"
[[package]]
name = "duckduckgo-search"
@@ -1924,14 +1937,14 @@ testing = ["covdefaults (>=2.3)", "coverage (>=7.2.3)", "diff-cover (>=7.5)", "p
[[package]]
name = "flatbuffers"
-version = "23.3.3"
+version = "23.5.9"
description = "The FlatBuffers serialization format for Python"
category = "main"
optional = true
python-versions = "*"
files = [
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@@ -2162,14 +2175,14 @@ uritemplate = ">=3.0.1,<5"
[[package]]
name = "google-auth"
-version = "2.17.3"
+version = "2.18.0"
description = "Google Authentication Library"
category = "main"
optional = true
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
files = [
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pyasn1-modules = ">=0.2.1"
rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
six = ">=1.9.0"
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aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "requests (>=2.20.0,<3.0.0dev)"]
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[[package]]
name = "gptcache"
-version = "0.1.22"
+version = "0.1.23"
description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
category = "main"
optional = false
python-versions = ">=3.8.1"
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@@ -3028,13 +3042,13 @@ testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-chec
[[package]]
name = "jcloud"
-version = "0.2.6"
+version = "0.2.8"
description = "Simplify deploying and managing Jina projects on Jina Cloud"
category = "main"
optional = true
python-versions = "*"
files = [
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[package.dependencies]
@@ -5562,13 +5576,13 @@ ptyprocess = ">=0.5"
[[package]]
name = "pgvector"
-version = "0.1.6"
+version = "0.1.7"
description = "pgvector support for Python"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
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[package.dependencies]
@@ -5726,18 +5740,18 @@ files = [
[[package]]
name = "platformdirs"
-version = "3.5.0"
+version = "3.5.1"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
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test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.3.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
[[package]]
@@ -5923,13 +5937,13 @@ wcwidth = "*"
[[package]]
name = "promptlayer"
-version = "0.1.80"
+version = "0.1.81"
description = "PromptLayer is a package to keep track of your GPT models training"
category = "dev"
optional = false
python-versions = "*"
files = [
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@@ -6363,14 +6377,14 @@ plugins = ["importlib-metadata"]
[[package]]
name = "pyjwt"
-version = "2.6.0"
+version = "2.7.0"
description = "JSON Web Token implementation in Python"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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@@ -6384,16 +6398,16 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
[[package]]
name = "pylance"
-version = "0.4.6"
+version = "0.4.9"
description = "python wrapper for lance-rs"
category = "main"
optional = true
python-versions = ">=3.8"
files = [
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@@ -6889,8 +6903,6 @@ category = "main"
optional = false
python-versions = "*"
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@@ -7063,14 +7075,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
[[package]]
name = "qdrant-client"
-version = "1.1.6"
+version = "1.1.7"
description = "Client library for the Qdrant vector search engine"
category = "main"
optional = true
python-versions = ">=3.7,<3.12"
files = [
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@@ -7078,6 +7090,7 @@ grpcio = ">=1.41.0"
grpcio-tools = ">=1.41.0"
httpx = {version = ">=0.14.0", extras = ["http2"]}
numpy = {version = ">=1.21", markers = "python_version >= \"3.8\""}
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pydantic = ">=1.8,<2.0"
typing-extensions = ">=4.0.0,<5.0.0"
urllib3 = ">=1.26.14,<2.0.0"
@@ -7144,18 +7157,18 @@ test = ["pytest (>=3.0)", "pytest-asyncio"]
[[package]]
name = "redis"
-version = "4.5.4"
+version = "4.5.5"
description = "Python client for Redis database and key-value store"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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+async-timeout = {version = ">=4.0.2", markers = "python_full_version <= \"3.11.2\""}
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hiredis = ["hiredis (>=1.0.0)"]
@@ -8109,53 +8122,53 @@ test = ["pytest"]
[[package]]
name = "sqlalchemy"
-version = "2.0.12"
+version = "2.0.13"
description = "Database Abstraction Library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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integrations = ["optuna", "ray[tune]", "sigopt"]
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onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
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@@ -9036,17 +9050,17 @@ sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"]
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
sigopt = ["sigopt"]
sklearn = ["scikit-learn"]
-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
-tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+tf-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)"]
timm = ["timm"]
tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
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+name = "types-chardet"
+version = "5.0.4.6"
+description = "Typing stubs for chardet"
+category = "dev"
+optional = false
+python-versions = "*"
+files = [
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+
[[package]]
name = "types-pyopenssl"
-version = "23.1.0.2"
+version = "23.1.0.3"
description = "Typing stubs for pyOpenSSL"
category = "dev"
optional = false
python-versions = "*"
files = [
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]
[package.dependencies]
@@ -9100,14 +9126,14 @@ files = [
[[package]]
name = "types-redis"
-version = "4.5.4.2"
+version = "4.5.5.2"
description = "Typing stubs for redis"
category = "dev"
optional = false
python-versions = "*"
files = [
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+ {file = "types-redis-4.5.5.2.tar.gz", hash = "sha256:2fe82f374d9dddf007deaf23d81fddcfd9523d9522bf11523c5c43bc5b27099e"},
+ {file = "types_redis-4.5.5.2-py3-none-any.whl", hash = "sha256:bf8692252038dbe03b007ca4fde87d3ae8e10610854a6858e3bf5d01721a7c4b"},
]
[package.dependencies]
@@ -9143,14 +9169,14 @@ files = [
[[package]]
name = "types-urllib3"
-version = "1.26.25.12"
+version = "1.26.25.13"
description = "Typing stubs for urllib3"
category = "main"
optional = false
python-versions = "*"
files = [
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+ {file = "types_urllib3-1.26.25.13-py3-none-any.whl", hash = "sha256:5dbd1d2bef14efee43f5318b5d36d805a489f6600252bb53626d4bfafd95e27c"},
]
[[package]]
@@ -9467,14 +9493,14 @@ files = [
[[package]]
name = "weaviate-client"
-version = "3.17.1"
+version = "3.18.0"
description = "A python native weaviate client"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "weaviate-client-3.17.1.tar.gz", hash = "sha256:04277030396a0e63e73b994a185c705f07f948254d27c0a3774c60b4795c37ab"},
- {file = "weaviate_client-3.17.1-py3-none-any.whl", hash = "sha256:0c86f4d5fcb155efd0888515c8caa20364241c0df01dead361ce0c023dbc5da9"},
+ {file = "weaviate-client-3.18.0.tar.gz", hash = "sha256:423a526518a32505c5293328e5f252e6cbbf20e4b3124733f70d10fc0d6823c9"},
+ {file = "weaviate_client-3.18.0-py3-none-any.whl", hash = "sha256:42b324286a4b4436317e5d2c6ba48c07da6cf01518efdd47ee097e7a8cc7584c"},
]
[package.dependencies]
@@ -9613,14 +9639,14 @@ files = [
[[package]]
name = "werkzeug"
-version = "2.3.3"
+version = "2.3.4"
description = "The comprehensive WSGI web application library."
category = "main"
optional = true
python-versions = ">=3.8"
files = [
- {file = "Werkzeug-2.3.3-py3-none-any.whl", hash = "sha256:4866679a0722de00796a74086238bb3b98d90f423f05de039abb09315487254a"},
- {file = "Werkzeug-2.3.3.tar.gz", hash = "sha256:a987caf1092edc7523edb139edb20c70571c4a8d5eed02e0b547b4739174d091"},
+ {file = "Werkzeug-2.3.4-py3-none-any.whl", hash = "sha256:48e5e61472fee0ddee27ebad085614ebedb7af41e88f687aaf881afb723a162f"},
+ {file = "Werkzeug-2.3.4.tar.gz", hash = "sha256:1d5a58e0377d1fe39d061a5de4469e414e78ccb1e1e59c0f5ad6fa1c36c52b76"},
]
[package.dependencies]
@@ -9994,7 +10020,7 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
cffi = ["cffi (>=1.11)"]
[extras]
-all = ["O365", "aleph-alpha-client", "anthropic", "arxiv", "atlassian-python-api", "azure-cosmos", "azure-identity", "beautifulsoup4", "clickhouse-connect", "cohere", "deeplake", "docarray", "duckduckgo-search", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-search-results", "gptcache", "hnswlib", "html2text", "huggingface_hub", "jina", "jinja2", "jq", "lancedb", "lark", "manifest-ml", "networkx", "nlpcloud", "nltk", "nomic", "openai", "opensearch-py", "pexpect", "pgvector", "pinecone-client", "pinecone-text", "protobuf", "psycopg2-binary", "pyowm", "pypdf", "pytesseract", "pyvespa", "qdrant-client", "redis", "sentence-transformers", "spacy", "tensorflow-text", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
+all = ["O365", "aleph-alpha-client", "anthropic", "arxiv", "atlassian-python-api", "azure-cosmos", "azure-identity", "beautifulsoup4", "chardet", "clickhouse-connect", "cohere", "deeplake", "docarray", "duckduckgo-search", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-search-results", "gptcache", "hnswlib", "html2text", "huggingface_hub", "jina", "jinja2", "jq", "lancedb", "lark", "manifest-ml", "networkx", "nlpcloud", "nltk", "nomic", "openai", "opensearch-py", "pexpect", "pgvector", "pinecone-client", "pinecone-text", "protobuf", "psycopg2-binary", "pyowm", "pypdf", "pytesseract", "pyvespa", "qdrant-client", "redis", "sentence-transformers", "spacy", "tensorflow-text", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
azure = ["azure-core", "azure-cosmos", "azure-identity", "openai"]
cohere = ["cohere"]
embeddings = ["sentence-transformers"]
@@ -10004,8 +10030,9 @@ in-memory-store = ["docarray"]
llms = ["anthropic", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "torch", "transformers"]
openai = ["openai", "tiktoken"]
qdrant = ["qdrant-client"]
+text-helpers = ["chardet"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "6d5c4aa06539e6f7c7531c30d73cbf08fbdea75486bf4b81c106b9e678a13b45"
+content-hash = "5cba09d8e3153c466aced4763e838df2a81f39a87e9578fc56404088fb1e1cb1"
diff --git a/pyproject.toml b/pyproject.toml
index 0bfc2b0a..ea43cda9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -82,6 +82,7 @@ pdfminer-six = {version = "^20221105", optional = true}
docarray = {version="^0.31.0", optional=true}
protobuf = {version="3.19", optional=true}
hnswlib = {version="^0.7.0", optional=true}
+chardet = {version="^5.1.0", optional=true}
[tool.poetry.group.docs.dependencies]
@@ -145,6 +146,7 @@ ruff = "^0.0.249"
types-toml = "^0.10.8.1"
types-redis = "^4.3.21.6"
black = "^23.1.0"
+types-chardet = "^5.0.4.6"
[tool.poetry.group.typing.dependencies]
mypy = "^0.991"
@@ -163,12 +165,13 @@ setuptools = "^67.6.1"
llms = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
qdrant = ["qdrant-client"]
openai = ["openai", "tiktoken"]
+text_helpers = ["chardet"]
cohere = ["cohere"]
in_memory_store = ["docarray"]
hnswlib = ["docarray", "protobuf", "hnswlib"]
embeddings = ["sentence-transformers"]
azure = ["azure-identity", "azure-cosmos", "openai", "azure-core"]
-all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "boto3", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos", "lancedb", "lark", "pexpect", "pyvespa", "O365", "jq", "docarray", "protobuf", "hnswlib"]
+all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "boto3", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos", "lancedb", "lark", "pexpect", "pyvespa", "O365", "jq", "docarray", "protobuf", "hnswlib", "chardet"]
# An extra used to be able to add extended testing.
extended_testing = [
"pypdf", "pdfminer.six", "tqdm"
diff --git a/tests/integration_tests/document_loaders/test_dir_text_loader.py b/tests/integration_tests/document_loaders/test_dir_text_loader.py
new file mode 100644
index 00000000..3f179ce3
--- /dev/null
+++ b/tests/integration_tests/document_loaders/test_dir_text_loader.py
@@ -0,0 +1,25 @@
+from pathlib import Path
+
+import pytest
+
+from langchain.document_loaders import DirectoryLoader, TextLoader
+
+
+@pytest.mark.requires("chardet")
+def test_text_loader() -> None:
+ """Test text loader."""
+ path = Path(__file__).parent.parent / "examples"
+ files = path.glob("**/*.txt")
+ loader = DirectoryLoader(str(path), glob="**/*.txt", loader_cls=TextLoader)
+ loader_detect_encoding = DirectoryLoader(
+ str(path),
+ glob="**/*.txt",
+ loader_kwargs={"autodetect_encoding": True},
+ loader_cls=TextLoader,
+ )
+
+ with pytest.raises((UnicodeDecodeError, RuntimeError)):
+ loader.load()
+
+ docs = loader_detect_encoding.load()
+ assert len(docs) == len(list(files))
diff --git a/tests/integration_tests/examples/example-non-utf8.txt b/tests/integration_tests/examples/example-non-utf8.txt
new file mode 100644
index 00000000..60cbb207
--- /dev/null
+++ b/tests/integration_tests/examples/example-non-utf8.txt
@@ -0,0 +1 @@
+-
diff --git a/tests/integration_tests/examples/example-utf8.txt b/tests/integration_tests/examples/example-utf8.txt
new file mode 100644
index 00000000..1bb51996
--- /dev/null
+++ b/tests/integration_tests/examples/example-utf8.txt
@@ -0,0 +1,6 @@
+Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor
+incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis
+nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
+Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu
+fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in
+culpa qui officia deserunt mollit anim id est laborum.