[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_163":164,"_165":166},"routes/_app.x.$handle.$name",{"_94":93,"_32":45,"_102":84,"_27":103,"_13":14,"_104":-5,"_11":105,"_106":107,"_108":109,"_110":111,"_112":113,"_20":-5,"_114":-5,"_115":-5,"_116":25,"_117":118,"_119":25,"_120":-5,"_121":-5,"_122":123},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":-5,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",17,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","0d391a90-2791-11f0-9d52-569c3dd06744","name","fileType","script","content","import { loadPageContent } from \"https://esm.town/v/charlypoly/browserbaseUtils\";\nimport { email } from \"https://esm.town/v/std/email?v=12\";\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\nimport { z } from \"npm:zod\";\nimport { zodToJsonSchema } from \"npm:zod-to-json-schema\";\n\nexport default async function(interval: Interval) {\n let html = await loadPageContent(\"https://news.ycombinator.com/\", { textContent: false });\n\n html = html.replace(/]*>[\\s\\S]*?<\\/style>/gi, \"\"); // remove useless context\n\n // Then, we define the shape of the data to extract\n // with a `zod` schema\n const schema = z.object({\n top: z\n .array(\n z.object({\n title: z.string(),\n points: z.number(),\n by: z.string(),\n url: z.string(),\n }),\n )\n .length(5)\n .describe(\"Top 5 stories on Hacker News\"),\n });\n\n // we create a OpenAI Tool that takes our schema as argument\n const extractContentTool: any = {\n type: \"function\",\n function: {\n name: \"extract_content\",\n description: \"Extracts the content from the given webpage(s)\",\n // we convert our zod Schema to a JSON Schema\n parameters: zodToJsonSchema(schema),\n },\n };\n\n const openai = new OpenAI();\n\n // We ask OpenAI to extract the content from the given web page.\n // The model will reach out to our `extract_content` tool and\n // by doing so, the model will extract the required data to satisfy\n // the requirement of `extract_content`s argument.\n const completion = await openai.chat.completions.create({\n model: \"gpt-4-turbo\",\n messages: [\n {\n role: \"system\",\n content: \"Extract the content from the given webpage(s)\",\n },\n { role: \"user\", content: html },\n ],\n tools: [extractContentTool],\n tool_choice: \"auto\",\n });\n\n // we retrieve the serialized arguments generated by OpenAI\n const result = completion.choices[0].message.tool_calls![0].function.arguments;\n\n console.log(result);\n\n // the serialized arguments are parsed into a valid JavaScript array of objects\n const parsed = schema.parse(JSON.parse(result));\n\n const completion2 = await openai.chat.completions.create({\n model: \"gpt-4-turbo\",\n messages: [\n {\n role: \"system\",\n content: \"Generate HTML without the , and tags\",\n },\n {\n role: \"user\",\n content: `Transform the following JSON object into a nice HTML list: \\n \\n${\n JSON.stringify(result, null, 2)\n }\\n`,\n },\n ],\n });\n\n console.log(completion2.choices[0].message.content);\n\n return;\n await email({\n subject: \"Top 5 hacker news of the day\",\n html,\n });\n}","import { loadPageContent } from \"https://esm.town/v/charlypoly/browserbaseUtils\";\nimport { email } from \"https://esm.town/v/std/email?v=12\";\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\nimport { z } from \"npm:zod\";\nimport { zodToJsonSchema } from \"npm:zod-to-json-schema\";\n\nexport default async function(interval: Interval) {\n let html = await loadPageContent(\"https://news.ycombinator.com/\", { textContent: false });\n\n html = html.replace(/]*>[\\s\\S]*?<\\/style>/gi, \"\"); // remove useless context\n\n // Then, we define the shape of the data to extract\n // with a `zod` schema\n const schema = z.object({\n top: z\n .array(\n z.object({\n title: z.string(),\n points: z.number(),\n by: z.string(),\n url: z.string(),\n }),\n )\n .length(5)\n .describe(\"Top 5 stories on Hacker News\"),\n });\n\n // we create a OpenAI Tool that takes our schema as argument\n const extractContentTool: any = {\n type: \"function\",\n function: {\n name: \"extract_content\",\n description: \"Extracts the content from the given webpage(s)\",\n // we convert our zod Schema to a JSON Schema\n parameters: zodToJsonSchema(schema),\n },\n };\n\n const openai = new OpenAI();\n\n // We ask OpenAI to extract the content from the given web page.\n // The model will reach out to our `extract_content` tool and\n // by doing so, the model will extract the required data to satisfy\n // the requirement of `extract_content`s argument.\n const completion = await openai.chat.completions.create({\n model: \"gpt-4-turbo\",\n messages: [\n {\n role: \"system\",\n content: \"Extract the content from the given webpage(s)\",\n },\n { role: \"user\", content: html },\n ],\n tools: [extractContentTool],\n tool_choice: \"auto\",\n });\n\n // we retrieve the serialized arguments generated by OpenAI\n const result = completion.choices[0].message.tool_calls![0].function.arguments;\n\n console.log(result);\n\n // the serialized arguments are parsed into a valid JavaScript array of objects\n const parsed = schema.parse(JSON.parse(result));\n\n const completion2 = await openai.chat.completions.create({\n model: \"gpt-4-turbo\",\n messages: [\n {\n role: \"system\",\n content: \"Generate HTML without the , and tags\",\n },\n {\n role: \"user\",\n content: `Transform the following JSON object into a nice HTML list: \\n \\n${\n JSON.stringify(result, null, 2)\n }\\n`,\n },\n ],\n });\n\n await email({\n subject: \"Top 5 hacker news of the day\",\n html: completion2.choices[0].message.content,\n 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Diff · v17