mirror of
https://github.com/run-llama/llama_cloud_services.git
synced 2026-07-01 21:44:37 -04:00
Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Clelia (Astra) Bertelli
|
ff69ca5d79 | ||
|
Clelia (Astra) Bertelli
|
7263561df8 |
@@ -0,0 +1,516 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Table Extraction with LlamaParse\n",
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"\n",
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"This notebook will show you how to extract tables and save them as CSV files thanks to LlamaParse advanced parsing capabilities."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
|
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"**1. Install needed dependencies**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"! pip install llama-cloud-services pandas"
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]
|
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},
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{
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"cell_type": "markdown",
|
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"metadata": {},
|
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"source": [
|
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"**2. Set you LLAMA_CLOUD_API_KEY as env variable**"
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]
|
||||
},
|
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{
|
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"cell_type": "code",
|
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"execution_count": null,
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"metadata": {},
|
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"outputs": [
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{
|
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"LLAMA_CLOUD_API_KEY: ··········\n"
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]
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}
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],
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"source": [
|
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"import os\n",
|
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"from getpass import getpass\n",
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"\n",
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"os.environ[\"LLAMA_CLOUD_API_KEY\"] = getpass(\"LLAMA_CLOUD_API_KEY: \")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
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"metadata": {},
|
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"source": [
|
||||
"**3. Initialiaze the parser**"
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
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"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from llama_cloud_services import LlamaParse\n",
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||||
"\n",
|
||||
"parser = LlamaParse(result_type=\"markdown\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
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"**4. Get data**\n",
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"\n",
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"This is a PDF with _lots_ of tables!"
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]
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},
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{
|
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"cell_type": "code",
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"execution_count": null,
|
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"metadata": {},
|
||||
"outputs": [
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"--2025-07-16 16:20:41-- https://assets.accessible-digital-documents.com/uploads/2017/01/sample-tables.pdf\n",
|
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"Resolving assets.accessible-digital-documents.com (assets.accessible-digital-documents.com)... 3.166.135.2, 3.166.135.62, 3.166.135.51, ...\n",
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"Connecting to assets.accessible-digital-documents.com (assets.accessible-digital-documents.com)|3.166.135.2|:443... connected.\n",
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"HTTP request sent, awaiting response... 200 OK\n",
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"Length: 145494 (142K) [application/pdf]\n",
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"Saving to: ‘sample-tables.pdf’\n",
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"\n",
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"sample-tables.pdf 100%[===================>] 142.08K --.-KB/s in 0.04s \n",
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"\n",
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"2025-07-16 16:20:41 (3.72 MB/s) - ‘sample-tables.pdf’ saved [145494/145494]\n",
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"\n"
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]
|
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}
|
||||
],
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"source": [
|
||||
"! wget https://assets.accessible-digital-documents.com/uploads/2017/01/sample-tables.pdf"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"**5. Parse document**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Started parsing the file under job_id b53949f7-9017-4b6a-b30c-be6227271ed2\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"json_result = parser.get_json_result(\"sample-tables.pdf\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"**6. Get tables!**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"tables = parser.get_tables(json_result, \"tables/\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"**7. Load tables**\n",
|
||||
"\n",
|
||||
"Let's show one example table!"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
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"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.google.colaboratory.intrinsic+json": {
|
||||
"summary": "{\n \"name\": \"display(df\",\n \"rows\": 8,\n \"fields\": [\n {\n \"column\": \"Rainfall\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Average\",\n \"\",\n \"24 hour high\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Americas\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 908,\n \"min\": 9,\n \"max\": 2010,\n \"num_unique_values\": 8,\n \"samples\": [\n 104,\n 133,\n 2010\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Asia\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"\",\n 201.0,\n 28.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Europe\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"\",\n 193.0,\n 29.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Africa\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"\",\n 144.0,\n 20.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
|
||||
"type": "dataframe"
|
||||
},
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <div id=\"df-94a74c8f-1062-4a80-8d3f-32f0fbadf7bb\" class=\"colab-df-container\">\n",
|
||||
" <div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>Rainfall</th>\n",
|
||||
" <th>Americas</th>\n",
|
||||
" <th>Asia</th>\n",
|
||||
" <th>Europe</th>\n",
|
||||
" <th>Africa</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>(inches)</td>\n",
|
||||
" <td>2010</td>\n",
|
||||
" <td></td>\n",
|
||||
" <td></td>\n",
|
||||
" <td></td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>Average</td>\n",
|
||||
" <td>104</td>\n",
|
||||
" <td>201.0</td>\n",
|
||||
" <td>193.0</td>\n",
|
||||
" <td>144.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>24 hour high</td>\n",
|
||||
" <td>15</td>\n",
|
||||
" <td>26.0</td>\n",
|
||||
" <td>27.0</td>\n",
|
||||
" <td>18.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>12 hour high</td>\n",
|
||||
" <td>9</td>\n",
|
||||
" <td>10.0</td>\n",
|
||||
" <td>11.0</td>\n",
|
||||
" <td>12.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td></td>\n",
|
||||
" <td>2009</td>\n",
|
||||
" <td></td>\n",
|
||||
" <td></td>\n",
|
||||
" <td></td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>5</th>\n",
|
||||
" <td>Average</td>\n",
|
||||
" <td>133</td>\n",
|
||||
" <td>244.0</td>\n",
|
||||
" <td>155.0</td>\n",
|
||||
" <td>166.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>6</th>\n",
|
||||
" <td>24 hour high</td>\n",
|
||||
" <td>27</td>\n",
|
||||
" <td>28.0</td>\n",
|
||||
" <td>29.0</td>\n",
|
||||
" <td>20.0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>7</th>\n",
|
||||
" <td>12 hour high</td>\n",
|
||||
" <td>11</td>\n",
|
||||
" <td>12.0</td>\n",
|
||||
" <td>13.0</td>\n",
|
||||
" <td>16.0</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>\n",
|
||||
" <div class=\"colab-df-buttons\">\n",
|
||||
"\n",
|
||||
" <div class=\"colab-df-container\">\n",
|
||||
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94a74c8f-1062-4a80-8d3f-32f0fbadf7bb')\"\n",
|
||||
" title=\"Convert this dataframe to an interactive table.\"\n",
|
||||
" style=\"display:none;\">\n",
|
||||
"\n",
|
||||
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
|
||||
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
|
||||
" </svg>\n",
|
||||
" </button>\n",
|
||||
"\n",
|
||||
" <style>\n",
|
||||
" .colab-df-container {\n",
|
||||
" display:flex;\n",
|
||||
" gap: 12px;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-convert {\n",
|
||||
" background-color: #E8F0FE;\n",
|
||||
" border: none;\n",
|
||||
" border-radius: 50%;\n",
|
||||
" cursor: pointer;\n",
|
||||
" display: none;\n",
|
||||
" fill: #1967D2;\n",
|
||||
" height: 32px;\n",
|
||||
" padding: 0 0 0 0;\n",
|
||||
" width: 32px;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-convert:hover {\n",
|
||||
" background-color: #E2EBFA;\n",
|
||||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||||
" fill: #174EA6;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-buttons div {\n",
|
||||
" margin-bottom: 4px;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" [theme=dark] .colab-df-convert {\n",
|
||||
" background-color: #3B4455;\n",
|
||||
" fill: #D2E3FC;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" [theme=dark] .colab-df-convert:hover {\n",
|
||||
" background-color: #434B5C;\n",
|
||||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||||
" fill: #FFFFFF;\n",
|
||||
" }\n",
|
||||
" </style>\n",
|
||||
"\n",
|
||||
" <script>\n",
|
||||
" const buttonEl =\n",
|
||||
" document.querySelector('#df-94a74c8f-1062-4a80-8d3f-32f0fbadf7bb button.colab-df-convert');\n",
|
||||
" buttonEl.style.display =\n",
|
||||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||||
"\n",
|
||||
" async function convertToInteractive(key) {\n",
|
||||
" const element = document.querySelector('#df-94a74c8f-1062-4a80-8d3f-32f0fbadf7bb');\n",
|
||||
" const dataTable =\n",
|
||||
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
||||
" [key], {});\n",
|
||||
" if (!dataTable) return;\n",
|
||||
"\n",
|
||||
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
||||
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
||||
" + ' to learn more about interactive tables.';\n",
|
||||
" element.innerHTML = '';\n",
|
||||
" dataTable['output_type'] = 'display_data';\n",
|
||||
" await google.colab.output.renderOutput(dataTable, element);\n",
|
||||
" const docLink = document.createElement('div');\n",
|
||||
" docLink.innerHTML = docLinkHtml;\n",
|
||||
" element.appendChild(docLink);\n",
|
||||
" }\n",
|
||||
" </script>\n",
|
||||
" </div>\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" <div id=\"df-54b2aa43-838b-47d3-9209-2fb18153cf87\">\n",
|
||||
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-54b2aa43-838b-47d3-9209-2fb18153cf87')\"\n",
|
||||
" title=\"Suggest charts\"\n",
|
||||
" style=\"display:none;\">\n",
|
||||
"\n",
|
||||
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
||||
" width=\"24px\">\n",
|
||||
" <g>\n",
|
||||
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
||||
" </g>\n",
|
||||
"</svg>\n",
|
||||
" </button>\n",
|
||||
"\n",
|
||||
"<style>\n",
|
||||
" .colab-df-quickchart {\n",
|
||||
" --bg-color: #E8F0FE;\n",
|
||||
" --fill-color: #1967D2;\n",
|
||||
" --hover-bg-color: #E2EBFA;\n",
|
||||
" --hover-fill-color: #174EA6;\n",
|
||||
" --disabled-fill-color: #AAA;\n",
|
||||
" --disabled-bg-color: #DDD;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" [theme=dark] .colab-df-quickchart {\n",
|
||||
" --bg-color: #3B4455;\n",
|
||||
" --fill-color: #D2E3FC;\n",
|
||||
" --hover-bg-color: #434B5C;\n",
|
||||
" --hover-fill-color: #FFFFFF;\n",
|
||||
" --disabled-bg-color: #3B4455;\n",
|
||||
" --disabled-fill-color: #666;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-quickchart {\n",
|
||||
" background-color: var(--bg-color);\n",
|
||||
" border: none;\n",
|
||||
" border-radius: 50%;\n",
|
||||
" cursor: pointer;\n",
|
||||
" display: none;\n",
|
||||
" fill: var(--fill-color);\n",
|
||||
" height: 32px;\n",
|
||||
" padding: 0;\n",
|
||||
" width: 32px;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-quickchart:hover {\n",
|
||||
" background-color: var(--hover-bg-color);\n",
|
||||
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||||
" fill: var(--button-hover-fill-color);\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-quickchart-complete:disabled,\n",
|
||||
" .colab-df-quickchart-complete:disabled:hover {\n",
|
||||
" background-color: var(--disabled-bg-color);\n",
|
||||
" fill: var(--disabled-fill-color);\n",
|
||||
" box-shadow: none;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .colab-df-spinner {\n",
|
||||
" border: 2px solid var(--fill-color);\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-bottom-color: var(--fill-color);\n",
|
||||
" animation:\n",
|
||||
" spin 1s steps(1) infinite;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" @keyframes spin {\n",
|
||||
" 0% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-bottom-color: var(--fill-color);\n",
|
||||
" border-left-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" 20% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-left-color: var(--fill-color);\n",
|
||||
" border-top-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" 30% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-left-color: var(--fill-color);\n",
|
||||
" border-top-color: var(--fill-color);\n",
|
||||
" border-right-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" 40% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-right-color: var(--fill-color);\n",
|
||||
" border-top-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" 60% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-right-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" 80% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-right-color: var(--fill-color);\n",
|
||||
" border-bottom-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" 90% {\n",
|
||||
" border-color: transparent;\n",
|
||||
" border-bottom-color: var(--fill-color);\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"\n",
|
||||
" <script>\n",
|
||||
" async function quickchart(key) {\n",
|
||||
" const quickchartButtonEl =\n",
|
||||
" document.querySelector('#' + key + ' button');\n",
|
||||
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
|
||||
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
|
||||
" try {\n",
|
||||
" const charts = await google.colab.kernel.invokeFunction(\n",
|
||||
" 'suggestCharts', [key], {});\n",
|
||||
" } catch (error) {\n",
|
||||
" console.error('Error during call to suggestCharts:', error);\n",
|
||||
" }\n",
|
||||
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
|
||||
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
|
||||
" }\n",
|
||||
" (() => {\n",
|
||||
" let quickchartButtonEl =\n",
|
||||
" document.querySelector('#df-54b2aa43-838b-47d3-9209-2fb18153cf87 button');\n",
|
||||
" quickchartButtonEl.style.display =\n",
|
||||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||||
" })();\n",
|
||||
" </script>\n",
|
||||
" </div>\n",
|
||||
"\n",
|
||||
" </div>\n",
|
||||
" </div>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
" Rainfall Americas Asia Europe Africa\n",
|
||||
"0 (inches) 2010 \n",
|
||||
"1 Average 104 201.0 193.0 144.0\n",
|
||||
"2 24 hour high 15 26.0 27.0 18.0\n",
|
||||
"3 12 hour high 9 10.0 11.0 12.0\n",
|
||||
"4 2009 \n",
|
||||
"5 Average 133 244.0 155.0 166.0\n",
|
||||
"6 24 hour high 27 28.0 29.0 20.0\n",
|
||||
"7 12 hour high 11 12.0 13.0 16.0"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import pandas as pd\n",
|
||||
"from IPython.display import display\n",
|
||||
"\n",
|
||||
"df = pd.read_csv(\n",
|
||||
" \"/content/tables/table_2025_16_07_16_30_01_569.csv\",\n",
|
||||
")\n",
|
||||
"display(df.fillna(\"\"))"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"name": "python"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
Generated
+20
-19
@@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiohappyeyeballs"
|
||||
@@ -257,7 +257,7 @@ version = "2025.1.31"
|
||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
groups = ["main", "dev"]
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
|
||||
{file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
|
||||
@@ -350,7 +350,7 @@ version = "3.4.1"
|
||||
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
groups = ["main", "dev"]
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
|
||||
{file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
|
||||
@@ -593,7 +593,7 @@ description = "Like `typing._eval_type`, but lets older Python versions use newe
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
markers = "python_version < \"3.10\""
|
||||
markers = "python_version == \"3.9\""
|
||||
files = [
|
||||
{file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"},
|
||||
{file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"},
|
||||
@@ -896,7 +896,7 @@ version = "0.16.0"
|
||||
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main", "dev"]
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
|
||||
{file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
|
||||
@@ -955,7 +955,7 @@ version = "3.10"
|
||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
groups = ["main", "dev"]
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
|
||||
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
|
||||
@@ -971,7 +971,7 @@ description = "Read metadata from Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["dev"]
|
||||
markers = "python_version < \"3.10\""
|
||||
markers = "python_version == \"3.9\""
|
||||
files = [
|
||||
{file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
|
||||
{file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
|
||||
@@ -1170,14 +1170,14 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
|
||||
|
||||
[[package]]
|
||||
name = "llama-cloud"
|
||||
version = "0.1.23"
|
||||
version = "0.1.33"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = "<4,>=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "llama_cloud-0.1.23-py3-none-any.whl", hash = "sha256:ce95b0705d85c99b3b27b0af0d16a17d9a81b14c96bf13c1063a1bd13d8d0446"},
|
||||
{file = "llama_cloud-0.1.23.tar.gz", hash = "sha256:3d84a24a860f046d39a106c06742ec0ea39a574ac42bbf91706fe025f44e233e"},
|
||||
{file = "llama_cloud-0.1.33-py3-none-any.whl", hash = "sha256:35b7d4a30b013f0a343f7e09126b531c697d65bffd4eb4d2d79bf7d65f256178"},
|
||||
{file = "llama_cloud-0.1.33.tar.gz", hash = "sha256:a0bb900d5a6e86f8c767b48686c5253679ad7ca1b57612dc39b0767e57ad3d78"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1187,24 +1187,25 @@ pydantic = ">=1.10"
|
||||
|
||||
[[package]]
|
||||
name = "llama-cloud-services"
|
||||
version = "0.6.30"
|
||||
version = "0.6.46"
|
||||
description = "Tailored SDK clients for LlamaCloud services."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "llama_cloud_services-0.6.30-py3-none-any.whl", hash = "sha256:4d5817a9841fc3ba3409865c52d082090f4ef827931f0e5e4a89f5818c0d4e36"},
|
||||
{file = "llama_cloud_services-0.6.30.tar.gz", hash = "sha256:2cb5004d13127aac52888ae9b3d70f899d598633520b2a2542bb62682d08d776"},
|
||||
{file = "llama_cloud_services-0.6.46-py3-none-any.whl", hash = "sha256:2cdf4de19cfb5548e9d0155f1bc203affca4e26ac0201f8d09d18315b1350479"},
|
||||
{file = "llama_cloud_services-0.6.46.tar.gz", hash = "sha256:cf50c5cfd481982fd548f600adfcc666f3939b6f04718775d853a4e4efebb750"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
click = ">=8.1.7,<9.0.0"
|
||||
eval-type-backport = {version = ">=0.2.0,<0.3.0", markers = "python_version < \"3.10\""}
|
||||
llama-cloud = "0.1.23"
|
||||
llama-cloud = "0.1.33"
|
||||
llama-index-core = ">=0.12.0"
|
||||
platformdirs = ">=4.3.7,<5.0.0"
|
||||
pydantic = ">=2.8,<2.10 || >2.10"
|
||||
python-dotenv = ">=1.0.1,<2.0.0"
|
||||
tenacity = ">=8.5.0,<10.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-core"
|
||||
@@ -2473,7 +2474,7 @@ version = "2.32.4"
|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main", "dev"]
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "requests-2.32.4-py3-none-any.whl", hash = "sha256:27babd3cda2a6d50b30443204ee89830707d396671944c998b5975b031ac2b2c"},
|
||||
{file = "requests-2.32.4.tar.gz", hash = "sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422"},
|
||||
@@ -2807,7 +2808,7 @@ files = [
|
||||
{file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
|
||||
{file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
|
||||
]
|
||||
markers = {dev = "python_version < \"3.10\""}
|
||||
markers = {dev = "python_version == \"3.9\""}
|
||||
|
||||
[[package]]
|
||||
name = "typing-inspect"
|
||||
@@ -2846,7 +2847,7 @@ version = "2.4.0"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main", "dev"]
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
|
||||
{file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
|
||||
@@ -3068,7 +3069,7 @@ description = "Backport of pathlib-compatible object wrapper for zip files"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["dev"]
|
||||
markers = "python_version < \"3.10\""
|
||||
markers = "python_version == \"3.9\""
|
||||
files = [
|
||||
{file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
|
||||
{file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
|
||||
@@ -3085,4 +3086,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.9,<4.0"
|
||||
content-hash = "1be767f62c8a8e1c9acb76347055a837ea2c44130004703361d0303b049bede7"
|
||||
content-hash = "b18a0bb31a806df8e673634c4916d5001fd80e3e328e26f632ff6a55c6a1a196"
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.poetry]
|
||||
name = "llama-parse"
|
||||
version = "0.6.46"
|
||||
version = "0.6.47"
|
||||
description = "Parse files into RAG-Optimized formats."
|
||||
authors = ["Logan Markewich <logan@llamaindex.ai>"]
|
||||
license = "MIT"
|
||||
@@ -13,7 +13,7 @@ packages = [{include = "llama_parse"}]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.9,<4.0"
|
||||
llama-cloud-services = ">=0.6.45"
|
||||
llama-cloud-services = ">=0.6.47"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^8.0.0"
|
||||
|
||||
Reference in New Issue
Block a user