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4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 George He
|
defb9e3ecb | ||
|
Adrian Lyjak
|
37393b7e98 | ||
|
Jerry Liu
|
ecd859a67c | ||
|
Logan
|
decca8e671 |
@@ -168,7 +168,49 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
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"outputs": [],
|
||||
"outputs": [
|
||||
{
|
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"name": "stdout",
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"output_type": "stream",
|
||||
"text": [
|
||||
"Parsing Apple 10-K with Cost-Effective Mode...\n",
|
||||
"Started parsing the file under job_id 2b27d681-7ea2-42c6-8925-4276c02a7efa\n",
|
||||
"Number of pages extracted: 82\n",
|
||||
"\n",
|
||||
"=== Sample Output - Page 32 (Cost-Effective Mode) ===\n",
|
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"Apple Inc.\n",
|
||||
"# CONSOLIDATED STATEMENTS OF OPERATIONS\n",
|
||||
"\n",
|
||||
"(In millions, except number of shares which are reflected in thousands and per share amounts)\n",
|
||||
"\n",
|
||||
"| | Years ended | September 25, 2021 | September 26, 2020 | September 28, 2019 |\n",
|
||||
"| -------------------------------------------- | ----------------------------------- | ------------------ | ------------------ | ------------------ |\n",
|
||||
"| Net sales: | Products | $297,392 | $220,747 | $213,883 |\n",
|
||||
"| | Services | $68,425 | $53,768 | $46,291 |\n",
|
||||
"| | Total net sales | $365,817 | $274,515 | $260,174 |\n",
|
||||
"| Cost of sales: | Products | $192,266 | $151,286 | $144,996 |\n",
|
||||
"| | Services | $20,715 | $18,273 | $16,786 |\n",
|
||||
"| | Total cost of sales | $212,981 | $169,559 | $161,782 |\n",
|
||||
"| | Gross margin | $152,836 | $104,956 | $98,392 |\n",
|
||||
"| Operating expenses: | Research and development | $21,914 | $18,752 | $16,217 |\n",
|
||||
"| | Selling, general and administrative | $21,973 | $19,916 | $18,245 |\n",
|
||||
"| | Total operating expenses | $43,887 | $38,668 | $34,462 |\n",
|
||||
"| Operating income | | $108,949 | $66,288 | $63,930 |\n",
|
||||
"| Other income/(expense), net | | $258 | $803 | $1,807 |\n",
|
||||
"| Income before provision for income taxes | | $109,207 | $67,091 | $65,737 |\n",
|
||||
"| Provision for income taxes | | $14,527 | $9,680 | $10,481 |\n",
|
||||
"| Net income | | $94,680 | $57,411 | $55,256 |\n",
|
||||
"| Earnings per share: | Basic | $5.67 | $3.31 | $2.99 |\n",
|
||||
"| | Diluted | $5.61 | $3.28 | $2.97 |\n",
|
||||
"| Shares used in computing earnings per share: | Basic | 16,701,272 | 17,352,119 | 18,471,336 |\n",
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||||
"| | Diluted | 16,864,919 | 17,528,214 | 18,595,651 |\n",
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||||
"\n",
|
||||
"See accompanying Notes to Consolidated Financial Statements.\n",
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||||
"\n",
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"Apple Inc. | 2021 Form 10-K | 29\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Parse the Apple 10-K document\n",
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"print(\"Parsing Apple 10-K with Cost-Effective Mode...\")\n",
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@@ -247,151 +289,44 @@
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"output_type": "stream",
|
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"text": [
|
||||
"Parsing GenAI Research Report with Agentic Mode...\n",
|
||||
"Started parsing the file under job_id 98d363fb-135f-4529-94a5-713f9b6b2025\n",
|
||||
"Number of pages extracted: 38\n",
|
||||
"Started parsing the file under job_id 3bef1c04-e18c-40d5-bc99-512ce045f035\n",
|
||||
".Number of pages extracted: 38\n",
|
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"\n",
|
||||
"=== Sample Output - Page 7 (Agentic Mode) ===\n",
|
||||
"\n",
|
||||
"# Only one in 10 businesses has undergone the preparation needed to comply with current and upcoming regulations concerning GenAI.\n",
|
||||
"Only one in 10 businesses has undergone the preparation needed to comply with current and upcoming regulations concerning GenAI. \n",
|
||||
"The majority of organizations lack a comprehensive governance framework for both AI and GenAI (seven in 10 adopters admit to this).\n",
|
||||
"\n",
|
||||
"# The majority of organizations lack a comprehensive governance framework for both AI and GenAI (seven in 10 adopters admit to this).\n",
|
||||
"| How prepared is your organization to comply with current and upcoming regulations concerning GenAI? | How prepared is your organization to comply with current and upcoming regulations concerning GenAI? | How prepared is your organization to comply with current and upcoming regulations concerning GenAI? | How prepared is your organization to comply with current and upcoming regulations concerning GenAI? | How prepared is your organization to comply with current and upcoming regulations concerning GenAI? |\n",
|
||||
"| --------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- |\n",
|
||||
"| Fully prepared | 10% (All respondents using/planning to use GenAI) | 35% (Using GenAI and have fully implemented it) | 11% (Using GenAI but haven't yet fully implemented it) | 3% (Not yet using GenAI but intend to within the next two years) |\n",
|
||||
"| Moderately prepared | 48% | 49% | 66% | 28% |\n",
|
||||
"| Slightly prepared | 40% | 15% | 23% | 64% |\n",
|
||||
"| Not prepared | 2% | 0% | 0% | 5% |\n",
|
||||
"\n",
|
||||
"## How prepared is your organization to comply with current and upcoming regulations concerning GenAI?\n",
|
||||
"\n",
|
||||
"<table>\n",
|
||||
" <thead>\n",
|
||||
" <tr>\n",
|
||||
" <th></th>\n",
|
||||
" <th>Fully prepared</th>\n",
|
||||
" <th>Moderately prepared</th>\n",
|
||||
" <th>Slightly prepared</th>\n",
|
||||
" <th>Not prepared</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <td>All respondents using/planning to use GenAI</td>\n",
|
||||
" <td>10%</td>\n",
|
||||
" <td>48%</td>\n",
|
||||
" <td>40%</td>\n",
|
||||
" <td>2%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Using GenAI and have fully implemented it</td>\n",
|
||||
" <td>35%</td>\n",
|
||||
" <td>49%</td>\n",
|
||||
" <td>15%</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Using GenAI but haven't yet fully implemented it</td>\n",
|
||||
" <td>11%</td>\n",
|
||||
" <td>66%</td>\n",
|
||||
" <td>23%</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Not yet using GenAI but intend to within the next two years</td>\n",
|
||||
" <td>3%</td>\n",
|
||||
" <td>28%</td>\n",
|
||||
" <td>64%</td>\n",
|
||||
" <td>5%</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p><i>Please note that percentages on charts may not add to 100% due to rounding</i></p>\n",
|
||||
"\n",
|
||||
"> *Please note that percentages on charts may not add to 100% due to rounding*\n",
|
||||
"| How would you describe your current GenAI/AI governance framework? | How would you describe your current GenAI/AI governance framework? | How would you describe your current GenAI/AI governance framework? | How would you describe your current GenAI/AI governance framework? | How would you describe your current GenAI/AI governance framework? |\n",
|
||||
"| ------------------------------------------------------------------ | ------------------------------------------------------------------ | ------------------------------------------------------------------ | ------------------------------------------------------------------ | ------------------------------------------------------------------ |\n",
|
||||
"| Artificial Intelligence (AI) Governance framework | | | | |\n",
|
||||
"| Well-established and comprehensive | 13% (All respondents using/planning to use GenAI) | 33% (Using GenAI and have fully implemented it) | 18% (Using GenAI but haven't yet fully implemented it) | 1% (Not yet using GenAI but intend to within the next two years) |\n",
|
||||
"| In development | 61% | 64% | 69% | 52% |\n",
|
||||
"| Ad hoc or informal | 21% | 3% | 13% | 34% |\n",
|
||||
"| Nonexistent | 6% | 0% | 0% | 13% |\n",
|
||||
"| GenAI Governance framework | | | | |\n",
|
||||
"| Well-established and comprehensive | 5% | 29% | 4% | 0% |\n",
|
||||
"| In development | 55% | 58% | 78% | 31% |\n",
|
||||
"| Ad hoc or informal | 28% | 13% | 17% | 43% |\n",
|
||||
"| Nonexistent | 11% | 0% | 0% | 26% |\n",
|
||||
"\n",
|
||||
"## How would you describe your current GenAI/AI governance framework?\n",
|
||||
"\n",
|
||||
"### Artificial Intelligence (AI) Governance framework\n",
|
||||
"\n",
|
||||
"<table>\n",
|
||||
" <thead>\n",
|
||||
" <tr>\n",
|
||||
" <th></th>\n",
|
||||
" <th>Well-established and comprehensive</th>\n",
|
||||
" <th>In development</th>\n",
|
||||
" <th>Ad hoc or informal</th>\n",
|
||||
" <th>Nonexistent</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <td>All respondents using/planning to use GenAI</td>\n",
|
||||
" <td>13%</td>\n",
|
||||
" <td>61%</td>\n",
|
||||
" <td>21%</td>\n",
|
||||
" <td>6%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Using GenAI and have fully implemented it</td>\n",
|
||||
" <td>33%</td>\n",
|
||||
" <td>64%</td>\n",
|
||||
" <td>3%</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Using GenAI but haven't yet fully implemented it</td>\n",
|
||||
" <td>18%</td>\n",
|
||||
" <td>69%</td>\n",
|
||||
" <td>13%</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Not yet using GenAI but intend to within the next two years</td>\n",
|
||||
" <td>1%</td>\n",
|
||||
" <td>52%</td>\n",
|
||||
" <td>34%</td>\n",
|
||||
" <td>13%</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"\n",
|
||||
"### GenAI Governance framework\n",
|
||||
"\n",
|
||||
"<table>\n",
|
||||
" <thead>\n",
|
||||
" <tr>\n",
|
||||
" <th></th>\n",
|
||||
" <th>Well-established and comprehensive</th>\n",
|
||||
" <th>In development</th>\n",
|
||||
" <th>Ad hoc or informal</th>\n",
|
||||
" <th>Nonexistent</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <td>All respondents using/planning to use GenAI</td>\n",
|
||||
" <td>5%</td>\n",
|
||||
" <td>55%</td>\n",
|
||||
" <td>28%</td>\n",
|
||||
" <td>11%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Using GenAI and have fully implemented it</td>\n",
|
||||
" <td>29%</td>\n",
|
||||
" <td>58%</td>\n",
|
||||
" <td>13%</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Using GenAI but haven't yet fully implemented it</td>\n",
|
||||
" <td>4%</td>\n",
|
||||
" <td>78%</td>\n",
|
||||
" <td>17%</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" </tr>\n",
|
||||
"<tr>\n",
|
||||
" <td>Not yet using GenAI but intend to within the next two years</td>\n",
|
||||
" <td>0%</td>\n",
|
||||
" <td>31%</td>\n",
|
||||
" <td>43%</td>\n",
|
||||
" <td>26%</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"\n",
|
||||
"<ul>\n",
|
||||
"<li>All respondents using/planning to use GenAI</li>\n",
|
||||
"<li>Using GenAI and have fully implemented it</li>\n",
|
||||
"<li>Using GenAI but haven't yet fully implemented it</li>\n",
|
||||
"<li>Not yet using GenAI but intend to within the next two years</li>\n",
|
||||
"</ul>\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
@@ -470,8 +405,8 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Parsing Apple 10-K with Agentic Plus Mode...\n",
|
||||
"Started parsing the file under job_id 172dd00c-c2c7-4d48-8867-ab466ecd5539\n",
|
||||
"Number of pages extracted: 82\n",
|
||||
"Started parsing the file under job_id bfe790f5-a3c1-455d-8143-9403728772f4\n",
|
||||
"..Number of pages extracted: 82\n",
|
||||
"\n",
|
||||
"=== Sample Output - Page 32 (Agentic Plus Mode) ===\n",
|
||||
"\n",
|
||||
@@ -480,196 +415,38 @@
|
||||
"## CONSOLIDATED STATEMENTS OF OPERATIONS\n",
|
||||
"*(In millions, except number of shares which are reflected in thousands and per share amounts)*\n",
|
||||
"\n",
|
||||
"<table>\n",
|
||||
"<thead>\n",
|
||||
"<tr>\n",
|
||||
"<th></th>\n",
|
||||
"<th colspan=\"3\">Years ended</th>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<th></th>\n",
|
||||
"<th>September 25, 2021</th>\n",
|
||||
"<th>September 26, 2020</th>\n",
|
||||
"<th>September 28, 2019</th>\n",
|
||||
"</tr>\n",
|
||||
"</thead>\n",
|
||||
"<tbody>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Net sales:</strong></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Products</td>\n",
|
||||
"<td>$ 297,392</td>\n",
|
||||
"<td>$ 220,747</td>\n",
|
||||
"<td>$ 213,883</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Services</td>\n",
|
||||
"<td>68,425</td>\n",
|
||||
"<td>53,768</td>\n",
|
||||
"<td>46,291</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Total net sales</td>\n",
|
||||
"<td>365,817</td>\n",
|
||||
"<td>274,515</td>\n",
|
||||
"<td>260,174</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Cost of sales:</strong></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Products</td>\n",
|
||||
"<td>192,266</td>\n",
|
||||
"<td>151,286</td>\n",
|
||||
"<td>144,996</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Services</td>\n",
|
||||
"<td>20,715</td>\n",
|
||||
"<td>18,273</td>\n",
|
||||
"<td>16,786</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Total cost of sales</td>\n",
|
||||
"<td>212,981</td>\n",
|
||||
"<td>169,559</td>\n",
|
||||
"<td>161,782</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Gross margin</td>\n",
|
||||
"<td>152,836</td>\n",
|
||||
"<td>104,956</td>\n",
|
||||
"<td>98,392</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Operating expenses:</strong></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Research and development</td>\n",
|
||||
"<td>21,914</td>\n",
|
||||
"<td>18,752</td>\n",
|
||||
"<td>16,217</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Selling, general and administrative</td>\n",
|
||||
"<td>21,973</td>\n",
|
||||
"<td>19,916</td>\n",
|
||||
"<td>18,245</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Total operating expenses</td>\n",
|
||||
"<td>43,887</td>\n",
|
||||
"<td>38,668</td>\n",
|
||||
"<td>34,462</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Operating income</strong></td>\n",
|
||||
"<td>108,949</td>\n",
|
||||
"<td>66,288</td>\n",
|
||||
"<td>63,930</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Other income/(expense), net</strong></td>\n",
|
||||
"<td>258</td>\n",
|
||||
"<td>803</td>\n",
|
||||
"<td>1,807</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Income before provision for income taxes</strong></td>\n",
|
||||
"<td>109,207</td>\n",
|
||||
"<td>67,091</td>\n",
|
||||
"<td>65,737</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Provision for income taxes</strong></td>\n",
|
||||
"<td>14,527</td>\n",
|
||||
"<td>9,680</td>\n",
|
||||
"<td>10,481</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Net income</strong></td>\n",
|
||||
"<td>$ 94,680</td>\n",
|
||||
"<td>$ 57,411</td>\n",
|
||||
"<td>$ 55,256</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Earnings per share:</strong></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Basic</td>\n",
|
||||
"<td>$ 5.67</td>\n",
|
||||
"<td>$ 3.31</td>\n",
|
||||
"<td>$ 2.99</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Diluted</td>\n",
|
||||
"<td>$ 5.61</td>\n",
|
||||
"<td>$ 3.28</td>\n",
|
||||
"<td>$ 2.97</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td><strong>Shares used in computing earnings per share:</strong></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"<td></td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Basic</td>\n",
|
||||
"<td>16,701,272</td>\n",
|
||||
"<td>17,352,119</td>\n",
|
||||
"<td>18,471,336</td>\n",
|
||||
"</tr>\n",
|
||||
"<tr>\n",
|
||||
"<td> Diluted</td>\n",
|
||||
"<td>16,864,919</td>\n",
|
||||
"<td>17,528,214</td>\n",
|
||||
"<td>18,595,651</td>\n",
|
||||
"</tr>\n",
|
||||
"</tbody>\n",
|
||||
"</table>\n",
|
||||
"| | Years ended<br/>September 25, 2021 | Years ended<br/>September 26, 2020 | Years ended<br/>September 28, 2019 |\n",
|
||||
"| ------------------------------------------------ | ---------------------------------- | ---------------------------------- | ---------------------------------- |\n",
|
||||
"| **Net sales:** | | | |\n",
|
||||
"| Products | $ 297,392 | $ 220,747 | $ 213,883 |\n",
|
||||
"| Services | 68,425 | 53,768 | 46,291 |\n",
|
||||
"| Total net sales | 365,817 | 274,515 | 260,174 |\n",
|
||||
"| | | | |\n",
|
||||
"| **Cost of sales:** | | | |\n",
|
||||
"| Products | 192,266 | 151,286 | 144,996 |\n",
|
||||
"| Services | 20,715 | 18,273 | 16,786 |\n",
|
||||
"| Total cost of sales | 212,981 | 169,559 | 161,782 |\n",
|
||||
"| Gross margin | 152,836 | 104,956 | 98,392 |\n",
|
||||
"| | | | |\n",
|
||||
"| **Operating expenses:** | | | |\n",
|
||||
"| Research and development | 21,914 | 18,752 | 16,217 |\n",
|
||||
"| Selling, general and administrative | 21,973 | 19,916 | 18,245 |\n",
|
||||
"| Total operating expenses | 43,887 | 38,668 | 34,462 |\n",
|
||||
"| | | | |\n",
|
||||
"| **Operating income** | 108,949 | 66,288 | 63,930 |\n",
|
||||
"| **Other income/(expense), net** | 258 | 803 | 1,807 |\n",
|
||||
"| **Income before provision for income taxes** | 109,207 | 67,091 | 65,737 |\n",
|
||||
"| **Provision for income taxes** | 14,527 | 9,680 | 10,481 |\n",
|
||||
"| **Net income** | $ 94,680 | $ 57,411 | $ 55,256 |\n",
|
||||
"| | | | |\n",
|
||||
"| **Earnings per share:** | | | |\n",
|
||||
"| Basic | $ 5.67 | $ 3.31 | $ 2.99 |\n",
|
||||
"| Diluted | $ 5.61 | $ 3.28 | $ 2.97 |\n",
|
||||
"| | | | |\n",
|
||||
"| **Shares used in computing earnings per share:** | | | |\n",
|
||||
"| Basic | 16,701,272 | 17,352,119 | 18,471,336 |\n",
|
||||
"| Diluted | 16,864,919 | 17,528,214 | 18,595,651 |\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"See accompanying Notes to Consolidated Financial Statements.\n",
|
||||
"\n",
|
||||
@@ -758,12 +535,11 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"=== Apple 10-K Financial Data Answer ===\n",
|
||||
"The 10‑K table shows (in millions) for the year ended September 25, 2021:\n",
|
||||
"- Products: $297,392 million\n",
|
||||
"- Services: $68,425 million\n",
|
||||
"- Total net sales: $365,817 million\n",
|
||||
"For the period shown (year ended September 25, 2021) net sales were (in millions):\n",
|
||||
"\n",
|
||||
"Note: the table is the consolidated statement of operations for the fiscal year ended Sept. 25, 2021. If you meant fiscal Q3 (a single quarter), let me know and I can pull the quarterly figures.\n"
|
||||
"- Products: $297,392\n",
|
||||
"- Services: $68,425\n",
|
||||
"- Total net sales: $365,817\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -803,25 +579,45 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"=== GenAI Regulatory Compliance Answer ===\n",
|
||||
"Short answer: Very poorly. Only 1 in 10 organizations say they are fully prepared to comply with current/upcoming GenAI regulations.\n",
|
||||
"Short answer: organizations are largely unprepared — only 1 in 10 fully prepared overall.\n",
|
||||
"\n",
|
||||
"Key numbers (all respondents using/planning to use GenAI)\n",
|
||||
"- Fully prepared: 10% \n",
|
||||
"- Moderately prepared: 48% \n",
|
||||
"- Slightly prepared: 40% \n",
|
||||
"- Not prepared: 2%\n",
|
||||
"Details (from the report)\n",
|
||||
"\n",
|
||||
"Breakdown by adoption stage\n",
|
||||
"- Using GenAI and fully implemented: 35% fully prepared, 49% moderately, 15% slightly, 0% not prepared. \n",
|
||||
"- Using GenAI but not fully implemented: 11% fully prepared, 66% moderately, 23% slightly, 0% not prepared. \n",
|
||||
"- Not yet using but intend to within 2 years: 3% fully prepared, 28% moderately, 64% slightly, 5% not prepared.\n",
|
||||
"Compliance preparedness (current & upcoming GenAI regulations)\n",
|
||||
"- All respondents using / planning to use GenAI\n",
|
||||
" - Fully prepared: 10%\n",
|
||||
" - Moderately prepared: 48%\n",
|
||||
" - Slightly prepared: 40%\n",
|
||||
" - Not prepared: 2%\n",
|
||||
"- Using GenAI and have fully implemented it\n",
|
||||
" - Fully prepared: 35%\n",
|
||||
" - Moderately prepared: 49%\n",
|
||||
" - Slightly prepared: 15%\n",
|
||||
" - Not prepared: 0%\n",
|
||||
"- Using GenAI but not yet fully implemented\n",
|
||||
" - Fully prepared: 11%\n",
|
||||
" - Moderately prepared: 66%\n",
|
||||
" - Slightly prepared: 23%\n",
|
||||
" - Not prepared: 0%\n",
|
||||
"- Not yet using GenAI but intend to within two years\n",
|
||||
" - Fully prepared: 3%\n",
|
||||
" - Moderately prepared: 28%\n",
|
||||
" - Slightly prepared: 64%\n",
|
||||
" - Not prepared: 5%\n",
|
||||
"\n",
|
||||
"Related governance context\n",
|
||||
"- AI governance (all respondents): 13% have a well‑established/comprehensive framework; 61% in development; 21% ad hoc; 6% nonexistent. \n",
|
||||
"- GenAI governance (all respondents): only 5% well‑established; 55% in development; 28% ad hoc; 11% nonexistent. \n",
|
||||
"- Among organizations that have fully implemented GenAI, only 29% have a well‑established GenAI governance framework — meaning ~71% of adopters lack a comprehensive GenAI governance framework (the “seven in 10” cited).\n",
|
||||
"Governance context (AI / GenAI frameworks)\n",
|
||||
"- GenAI governance (all respondents)\n",
|
||||
" - Well‑established & comprehensive: 5%\n",
|
||||
" - In development: 55%\n",
|
||||
" - Ad hoc/informal: 28%\n",
|
||||
" - Nonexistent: 11%\n",
|
||||
"- GenAI governance (using GenAI and fully implemented)\n",
|
||||
" - Well‑established: 29% (so 71% do not have a well‑established GenAI framework)\n",
|
||||
" - In development: 58%\n",
|
||||
" - Ad hoc: 13%\n",
|
||||
" - Nonexistent: 0%\n",
|
||||
"\n",
|
||||
"(Percentages may not sum to exactly 100% due to rounding.)\n"
|
||||
"Interpretation: only 10% of organizations overall say they are fully prepared to comply; most are moderately (48%) or slightly (40%) prepared. GenAI governance is rarely comprehensive (5% overall), and even among fully implemented users only 29% have a well‑established GenAI governance framework — meaning roughly 7 in 10 adopters still lack a comprehensive framework.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@@ -17,7 +17,6 @@ from llama_index.core.async_utils import asyncio_run, run_jobs
|
||||
from llama_index.core.bridge.pydantic import (
|
||||
Field,
|
||||
PrivateAttr,
|
||||
field_validator,
|
||||
model_validator,
|
||||
)
|
||||
from llama_index.core.constants import DEFAULT_BASE_URL
|
||||
@@ -105,17 +104,29 @@ class BackoffPattern(str, Enum):
|
||||
EXPONENTIAL = "exponential"
|
||||
|
||||
|
||||
def _get_default_api_key() -> str:
|
||||
env_key = os.getenv("LLAMA_CLOUD_API_KEY")
|
||||
if env_key is None:
|
||||
raise ValueError("The API key is required.")
|
||||
return env_key
|
||||
|
||||
|
||||
def _get_default_base_url() -> str:
|
||||
env_url = os.getenv("LLAMA_CLOUD_BASE_URL")
|
||||
return env_url or DEFAULT_BASE_URL
|
||||
|
||||
|
||||
class LlamaParse(BasePydanticReader):
|
||||
"""A smart-parser for files."""
|
||||
|
||||
# Library / access specific configurations
|
||||
api_key: str = Field(
|
||||
default="",
|
||||
default_factory=_get_default_api_key,
|
||||
description="The API key for the LlamaParse API.",
|
||||
validate_default=True,
|
||||
)
|
||||
base_url: str = Field(
|
||||
default=DEFAULT_BASE_URL,
|
||||
default_factory=_get_default_base_url,
|
||||
description="The base URL of the Llama Parsing API.",
|
||||
)
|
||||
organization_id: Optional[str] = Field(
|
||||
@@ -561,27 +572,6 @@ class LlamaParse(BasePydanticReader):
|
||||
|
||||
return data
|
||||
|
||||
@field_validator("api_key", mode="before", check_fields=True)
|
||||
@classmethod
|
||||
def validate_api_key(cls, v: str) -> str:
|
||||
"""Validate the API key."""
|
||||
if not v:
|
||||
import os
|
||||
|
||||
api_key = os.getenv("LLAMA_CLOUD_API_KEY", None)
|
||||
if api_key is None:
|
||||
raise ValueError("The API key is required.")
|
||||
return api_key
|
||||
|
||||
return v
|
||||
|
||||
@field_validator("base_url", mode="before", check_fields=True)
|
||||
@classmethod
|
||||
def validate_base_url(cls, v: str) -> str:
|
||||
"""Validate the base URL."""
|
||||
url = os.getenv("LLAMA_CLOUD_BASE_URL", None)
|
||||
return url or v or DEFAULT_BASE_URL
|
||||
|
||||
_aclient: Union[httpx.AsyncClient, None] = PrivateAttr(default=None, init=False)
|
||||
|
||||
@property
|
||||
@@ -1025,11 +1015,20 @@ class LlamaParse(BasePydanticReader):
|
||||
try:
|
||||
url = build_url(JOB_UPLOAD_ROUTE, self.organization_id, self.project_id)
|
||||
resp = await make_api_request(self.aclient, "POST", url, timeout=self.max_timeout, files=files, data=data) # type: ignore
|
||||
resp.raise_for_status() # this raises if status is not 2xx
|
||||
# Note: make_api_request already calls raise_for_status(), so no need to call it again
|
||||
return resp.json()["id"]
|
||||
except httpx.HTTPStatusError as err: # this catches it
|
||||
except httpx.HTTPStatusError as err: # this catches HTTP status errors
|
||||
msg = f"Failed to parse the file: {err.response.text}"
|
||||
raise Exception(msg) from err # this preserves the exception context
|
||||
except Exception as err: # this catches other exceptions like RetryError, ValueError, etc.
|
||||
# Try to extract meaningful error message from the exception chain
|
||||
if hasattr(err, '__cause__') and isinstance(err.__cause__, httpx.HTTPStatusError):
|
||||
# If the exception was caused by an HTTPStatusError, extract the response text
|
||||
msg = f"Failed to parse the file: {err.__cause__.response.text}"
|
||||
else:
|
||||
# For other exceptions, use the string representation
|
||||
msg = f"Failed to parse the file: {str(err)}"
|
||||
raise Exception(msg) from err
|
||||
finally:
|
||||
if file_handle is not None:
|
||||
file_handle.close()
|
||||
@@ -1588,7 +1587,7 @@ class LlamaParse(BasePydanticReader):
|
||||
resp = await make_api_request(
|
||||
client, "GET", asset_url, timeout=self.max_timeout
|
||||
)
|
||||
resp.raise_for_status()
|
||||
# Note: make_api_request already calls raise_for_status()
|
||||
f.write(resp.content)
|
||||
assets.append(asset)
|
||||
return assets
|
||||
@@ -1686,7 +1685,7 @@ class LlamaParse(BasePydanticReader):
|
||||
res = await make_api_request(
|
||||
client, "GET", xlsx_url, timeout=self.max_timeout
|
||||
)
|
||||
res.raise_for_status()
|
||||
# Note: make_api_request already calls raise_for_status()
|
||||
f.write(res.content)
|
||||
xlsx_list.append(xlsx)
|
||||
return xlsx_list
|
||||
|
||||
@@ -11,6 +11,7 @@ from tenacity import (
|
||||
wait_exponential,
|
||||
retry_if_exception,
|
||||
before_sleep_log,
|
||||
RetryError,
|
||||
)
|
||||
from typing import Any, Iterable, Iterator, Optional, List, cast
|
||||
|
||||
@@ -300,7 +301,17 @@ async def make_api_request(
|
||||
response.raise_for_status()
|
||||
return response
|
||||
|
||||
return await _make_request(url, **httpx_kwargs)
|
||||
try:
|
||||
return await _make_request(url, **httpx_kwargs)
|
||||
except RetryError as retry_err:
|
||||
# Extract the last exception from the retry error to preserve the original error details
|
||||
if retry_err.last_attempt and retry_err.last_attempt.exception():
|
||||
last_exception = retry_err.last_attempt.exception()
|
||||
# Re-raise the original exception to preserve error details like response.text
|
||||
raise last_exception from retry_err
|
||||
else:
|
||||
# Fallback if we can't extract the original exception
|
||||
raise retry_err
|
||||
|
||||
|
||||
def expand_target_pages(target_pages: str) -> Iterator[int]:
|
||||
|
||||
@@ -11,13 +11,13 @@ dev = [
|
||||
|
||||
[project]
|
||||
name = "llama-parse"
|
||||
version = "0.6.60"
|
||||
version = "0.6.62"
|
||||
description = "Parse files into RAG-Optimized formats."
|
||||
authors = [{name = "Logan Markewich", email = "logan@llamaindex.ai"}]
|
||||
requires-python = ">=3.9,<4.0"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
dependencies = ["llama-cloud-services>=0.6.60"]
|
||||
dependencies = ["llama-cloud-services>=0.6.62"]
|
||||
|
||||
[project.scripts]
|
||||
llama-parse = "llama_parse.cli.main:parse"
|
||||
|
||||
+1
-1
@@ -19,7 +19,7 @@ dev = [
|
||||
|
||||
[project]
|
||||
name = "llama-cloud-services"
|
||||
version = "0.6.61"
|
||||
version = "0.6.62"
|
||||
description = "Tailored SDK clients for LlamaCloud services."
|
||||
authors = [{name = "Logan Markewich", email = "logan@runllama.ai"}]
|
||||
requires-python = ">=3.9,<4.0"
|
||||
|
||||
@@ -0,0 +1,57 @@
|
||||
from collections.abc import Generator
|
||||
import pytest
|
||||
import os
|
||||
|
||||
from llama_cloud_services.parse.base import LlamaParse
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def clear_env() -> Generator[None, None, None]:
|
||||
"""entirely clear the environment, and then reset after test completion"""
|
||||
original_env = os.environ.copy()
|
||||
os.environ.clear()
|
||||
try:
|
||||
yield
|
||||
finally:
|
||||
os.environ.clear()
|
||||
os.environ.update(original_env)
|
||||
|
||||
|
||||
def test_should_obtain_api_key_base_url_from_env_vars():
|
||||
os.environ["LLAMA_CLOUD_API_KEY"] = "test-api-key"
|
||||
os.environ["LLAMA_CLOUD_BASE_URL"] = "https://example.test"
|
||||
|
||||
client = LlamaParse()
|
||||
assert client.api_key == "test-api-key"
|
||||
assert client.base_url == "https://example.test"
|
||||
|
||||
|
||||
def test_should_be_able_to_pass_api_key_base_url_as_kwargs():
|
||||
os.environ["LLAMA_CLOUD_API_KEY"] = "not-this-one"
|
||||
os.environ["LLAMA_CLOUD_BASE_URL"] = "https://wrong.site"
|
||||
|
||||
client = LlamaParse(
|
||||
api_key="test-api-key",
|
||||
base_url="https://example.test",
|
||||
)
|
||||
assert client.api_key == "test-api-key"
|
||||
assert client.base_url == "https://example.test"
|
||||
|
||||
|
||||
def test_should_raise_error_if_api_key_is_not_provided():
|
||||
with pytest.raises(ValueError, match="The API key is required."):
|
||||
LlamaParse()
|
||||
|
||||
|
||||
def test_should_default_to_llama_cloud_base_url_if_not_provided():
|
||||
client = LlamaParse(
|
||||
api_key="test-api-key",
|
||||
)
|
||||
assert client.base_url == "https://api.cloud.llamaindex.ai"
|
||||
|
||||
|
||||
def test_json_parseable():
|
||||
os.environ["LLAMA_CLOUD_API_KEY"] = "test-api-key"
|
||||
client2 = LlamaParse.model_validate_json('{"base_url":"https://example.test"}')
|
||||
assert client2.api_key == "test-api-key"
|
||||
assert client2.base_url == "https://example.test"
|
||||
Reference in New Issue
Block a user