Memory Assistant Bot

This bot helps you remember important information.

`,\n { status: 200, headers: { \"content-type\": \"text/html\" } }\n );\n}\n",[],[141,213],"74498ad8-2932-11f0-aab0-569c3dd06744","getWeather.ts","74498baa-2932-11f0-aab0-569c3dd06744",12,["D",1746395712417],"import {\n getWeather,\n WeatherResponse,\n} from \"https://esm.town/v/geoffreylitt/getWeather\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\n\nconst TABLE_NAME = `memories`;\n\nfunction summarizeWeather(weather: WeatherResponse) {\n const summarizeDay = (day: WeatherResponse[\"weather\"][number]) => ({\n date: day.date,\n highTemp: day.maxtempF,\n lowTemp: day.mintempF,\n hourly:\n day.hourly?.map((hour) => ({\n time: hour.time,\n temp: hour.tempF,\n chanceOfRain: hour.chanceofrain,\n chanceOfSnow: hour.chanceofsnow,\n desc: hour.weatherDesc.map((desc) => desc.value).join(\", \"),\n })) ?? [],\n });\n return weather.weather.map((day) => summarizeDay(day));\n}\n\nasync function generateConciseWeatherSummary(weatherDay) {\n try {\n // Get API key from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured.\");\n return null;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 150,\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: `\nYou are a weather forecaster. Create a very concise summary of this weather forecast data.\nInclude the high and low temperatures and a brief summary of the overall weather conditions throughout the day.\nThe summary should be helpful for someone planning their day - mention any precipitation, temperature changes, or other notable patterns.\nKeep it under 25 words if possible, no more than one sentence. Don't include the date.\n\nExamples:\n- \"High of 50, low of 31, clear and sunny all day.\"\n- \"High of 80, low of 50, cool and clear morning, warmer afternoon with scattered showers starting around 2pm.\"\n\nWeather data:\n${JSON.stringify(weatherDay, null, 2)}\n\nYour concise summary:\n`,\n },\n ],\n },\n ],\n });\n\n // Extract and clean up the summary\n let summary = response.content[0].text.trim();\n\n // Remove any \"Your concise summary:\" text if it got included\n summary = summary.replace(/^(your concise summary:)/i, \"\").trim();\n\n // Remove quotes if the model included them\n summary = summary.replace(/^[\"']|[\"']$/g, \"\").trim();\n\n return summary;\n } catch (error) {\n console.error(\"Error generating weather summary:\", error);\n return JSON.stringify(weatherDay); // Fallback to JSON if summary fails\n }\n}\n\nasync function deleteExistingForecast(date: string) {\n await sqlite.execute(\n `\n DELETE FROM ${TABLE_NAME}\n WHERE date = ? AND text LIKE 'weather forecast:%'\n `,\n [date]\n );\n}\n\nasync function insertForecast(date: string, forecast: string) {\n const { nanoid } = await import(\"https://esm.sh/nanoid@5.0.5\");\n\n await sqlite.execute(\n `\n INSERT INTO ${TABLE_NAME} (id, date, text, createdBy, createdDate, tags)\n VALUES (?, ?, ?, ?, ?, ?)\n `,\n [\n nanoid(10),\n date,\n `weather forecast: ${forecast}`,\n \"weather\",\n Date.now(),\n \"weather\",\n ]\n );\n}\n\nexport default async function getWeatherForecast(interval: number) {\n const weather = await getWeather(\"Washington, DC\");\n console.log({ weather });\n const summary = summarizeWeather(weather);\n\n for (const day of summary) {\n const date = new Date(day.date).toISOString().split(\"T\")[0];\n\n // Generate concise text summary instead of using JSON\n const conciseSummary = await generateConciseWeatherSummary(day);\n\n // If summary generation failed, it will fall back to JSON\n const forecastText = conciseSummary || JSON.stringify(day);\n\n await deleteExistingForecast(date);\n await insertForecast(date, forecastText);\n }\n\n console.log(`Weather forecast updated in the database.`);\n return summary;\n}\n",[],[141,221],"744d1a86-2932-11f0-bfad-569c3dd06744","getCalendarEvents.ts","744d1b26-2932-11f0-bfad-569c3dd06744",13,["D",1746395712433],"import { getEvents } from \"https://esm.town/v/geoffreylitt/getGoogleCalendarEvents\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { DateTime } from \"https://esm.sh/luxon@3.4.4\";\n\nconst TABLE_NAME = `memories`;\nconst LOCAL_TIMEZONE = \"America/New_York\";\n\nasync function deleteExistingCalendarEvents() {\n await sqlite.execute(\n `\n DELETE FROM ${TABLE_NAME}\n WHERE createdBy = 'calendar'\n `\n );\n}\n\n// Helper function to extract time from ISO string without timezone conversion\nfunction extractTimeFromISO(isoString) {\n // Match the time portion of the ISO string\n const timeMatch = isoString.match(/T(\\d{2}):(\\d{2}):/);\n if (!timeMatch) return null;\n\n const hours = parseInt(timeMatch[1], 10);\n const minutes = timeMatch[2];\n\n // Format as AM/PM\n const period = hours >= 12 ? \"pm\" : \"am\";\n const hour12 = hours % 12 || 12; // Convert 0 to 12 for 12 AM\n\n return `${hour12}:${minutes} ${period}`;\n}\n\nfunction formatEventToNaturalLanguage(event) {\n const summary = event.summary || \"Untitled event\";\n\n if (event.start.dateTime) {\n // This is a timed event\n const startTime = extractTimeFromISO(event.start.dateTime);\n const endTime = extractTimeFromISO(event.end.dateTime);\n\n // Get timezone information from the event\n const timezone =\n event.start.timeZone ||\n (event.start.dateTime.includes(\"+\") || event.start.dateTime.includes(\"-\")\n ? event.start.dateTime.match(/[+-]\\d{2}:\\d{2}$/)?.[0]\n : \"UTC\");\n\n // Check if timezone is America/New_York or equivalent (-04:00 or -05:00 depending on DST)\n const isLocalTimezone =\n timezone === LOCAL_TIMEZONE ||\n timezone?.startsWith(\"-04:00\") ||\n timezone?.startsWith(\"-05:00\");\n\n let text = `${summary} from ${startTime} - ${endTime}`;\n\n // Add timezone info if not a local timezone\n if (timezone && !isLocalTimezone) {\n // If it's a named timezone like America/Los_Angeles\n if (timezone.includes(\"/\")) {\n const friendlyTimezone =\n timezone.split(\"/\")[1].replace(\"_\", \" \").toLowerCase() + \" time\";\n text += ` (${friendlyTimezone})`;\n }\n // If it's an offset like +08:00\n else if (timezone.match(/[+-]\\d{2}:\\d{2}/)) {\n text += ` (${timezone})`;\n }\n }\n\n if (event.location) {\n text += ` at ${event.location}`;\n }\n\n return text;\n } else if (event.start.date) {\n // This is an all-day event\n return `All-day event: ${summary}${\n event.location ? ` at ${event.location}` : \"\"\n }`;\n }\n\n return summary;\n}\n\nasync function insertCalendarEvent(date, eventText) {\n const { nanoid } = await import(\"https://esm.sh/nanoid@5.0.5\");\n\n console.log(\"inserting\", { date, eventText });\n\n await sqlite.execute(\n `\n INSERT INTO ${TABLE_NAME} (id, date, text, createdBy, createdDate, tags)\n VALUES (?, ?, ?, ?, ?, ?)\n `,\n [nanoid(10), date, eventText, \"calendar\", Date.now(), \"calendar\"]\n );\n}\n\nexport default async function getCalendarEvents() {\n try {\n const events = await getEvents(\n Deno.env.get(\"GOOGLE_CALENDAR_ACCOUNT_ID\"),\n Deno.env.get(\"GOOGLE_CALENDAR_CALENDAR_ID\")\n );\n\n console.log(`Found ${events.length} calendar events`);\n\n await deleteExistingCalendarEvents();\n\n for (const event of events) {\n let date;\n if (event.start.dateTime) {\n // Extract date in YYYY-MM-DD format from ISO string\n date = event.start.dateTime.split(\"T\")[0];\n } else if (event.start.date) {\n date = event.start.date;\n } else {\n console.warn(`Event ${event.summary} has no start date/time, skipping`);\n continue;\n }\n\n const eventText = formatEventToNaturalLanguage(event);\n console.log(`Adding calendar event for ${date}: ${eventText}`);\n await insertCalendarEvent(date, eventText);\n }\n\n console.log(`Calendar events imported into the database.`);\n return events;\n } catch (error) {\n console.error(\"Error importing calendar events:\", error);\n throw error;\n }\n}\n",[],[141,229],"745756cc-2932-11f0-b9de-569c3dd06744","generateFunFacts.ts","74575762-2932-11f0-b9de-569c3dd06744",16,["D",1746395712497],"import { DateTime } from \"https://esm.sh/luxon@3.4.4\";\nimport { nanoid } from \"https://esm.sh/nanoid@5.0.5\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\n\nconst TABLE_NAME = `memories`;\nconst TAG_NAME = \"fun_fact\";\n\n/**\n * Retrieves previously generated fun facts from the memories database\n * @returns Array of previous fun facts\n */\nasync function getPreviousFunFacts() {\n try {\n const result = await sqlite.execute(\n `SELECT date(date) as date, text FROM ${TABLE_NAME}\n WHERE tags = ?\n ORDER BY date DESC\n LIMIT 50`,\n [TAG_NAME],\n );\n\n return result.rows || [];\n } catch (error) {\n console.error(\"Error retrieving previous fun facts:\", error);\n return [];\n }\n}\n\n/**\n * Deletes existing fun facts for the specified dates\n * @param dates Array of date strings in ISO format\n */\nasync function deleteExistingFunFacts(dates) {\n try {\n for (const date of dates) {\n await sqlite.execute(\n `DELETE FROM ${TABLE_NAME}\n WHERE date = ? AND tags = ?`,\n [date, TAG_NAME],\n );\n }\n } catch (error) {\n console.error(\"Error deleting existing fun facts:\", error);\n }\n}\n\n/**\n * Inserts a fun fact into the memories database\n * @param date Date for the fun fact in ISO format\n * @param factText The fun fact text\n */\nasync function insertFunFact(date, factText) {\n try {\n await sqlite.execute(\n `INSERT INTO ${TABLE_NAME} (id, date, text, createdBy, createdDate, tags)\n VALUES (?, ?, ?, ?, ?, ?)`,\n [\n nanoid(10),\n date,\n `fun fact: ${factText}`,\n \"fun_fact_generator\",\n Date.now(),\n TAG_NAME,\n ],\n );\n } catch (error) {\n console.error(`Error inserting fun fact for ${date}:`, error);\n }\n}\n\n/**\n * Generates fun facts for the next 7 days using Claude AI\n * @param previousFacts Previous fun facts to avoid duplication\n * @returns Array of generated fun facts\n */\nasync function generateFunFacts(previousFacts) {\n try {\n // Get API key from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured.\");\n return null;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n // Format previous facts for the prompt\n const previousFactsText = previousFacts\n .map((fact) => `- ${fact.date}: ${fact.text}`)\n .join(\"\\n\");\n\n // Get today's date in US Eastern Time\n const today = DateTime.now().setZone(\"America/New_York\").startOf(\"day\");\n\n // Hana's birthday - adjust as needed\n const hanaBirthday = \"2025-03-26\";\n const currentDate = today.toFormat(\"yyyy-MM-dd\");\n\n // Format dates for the next 7 days\n const nextSevenDays = Array.from({ length: 7 }, (_, i) => {\n const date = today.plus({ days: i });\n return date.toFormat(\"yyyy-MM-dd\");\n });\n\n const message =\n `Generate 7 unique fun facts, one for each of the next 7 days. Each fact should be brief (1-2 sentences) and relate to one of these categories:\n\n1. Infant development appropriate for Miss Hana, who was born on ${hanaBirthday} (today is ${currentDate})\n2. Cute animals: capybaras, border collies, elephants, or penguins\n3. Plants: monsteras, orchids, ficus, or other common houseplants\n\nRequirements:\n- Each fact must be interesting, educational, and appropriate for formal communication\n- Keep each fact to 1-2 sentences maximum\n- Use different categories across the 7 days for variety\n- Ensure facts are scientifically accurate\n- Make infant development facts age-appropriate for Miss Hana based on her birthdate\n- Do not repeat any previous facts from this list:\n\n${previousFactsText}\n\nFORMAT YOUR RESPONSE AS STRUCTURED JSON INSIDE XML TAGS:\n\n[\n {\n \"date\": \"YYYY-MM-DD\",\n \"text\": \"The fun fact text here\",\n \"category\": \"infant\" | \"animal\" | \"plant\"\n },\n ... (repeat for all 7 days)\n]\n\n\nUse these dates for the 7 facts:\n${nextSevenDays.join(\"\\n\")}`;\n\n console.log({ message });\n\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 1000,\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: message,\n },\n ],\n },\n ],\n });\n\n // Extract and parse the response\n const responseText = response.content[0].text.trim();\n\n // Extract JSON between tags\n const factsMatch = responseText.match(/([\\s\\S]*?)<\\/facts>/);\n\n if (!factsMatch || factsMatch.length < 2) {\n console.error(\"Failed to parse facts from response:\", responseText);\n return [];\n }\n\n try {\n // Parse the JSON from the extracted content\n const factData = JSON.parse(factsMatch[1]);\n\n // Validate and format facts\n const facts = factData.map((fact) => ({\n date: fact.date,\n text: fact.text,\n category: fact.category,\n }));\n\n return facts;\n } catch (parseError) {\n console.error(\"Failed to parse facts JSON:\", parseError);\n console.log(\"Raw response:\", responseText);\n\n // Fallback to regex parsing if JSON parsing fails\n return parseFallbackFacts(responseText, nextSevenDays);\n }\n } catch (error) {\n console.error(\"Error generating fun facts:\", error);\n return [];\n }\n}\n\n/**\n * Fallback parser for when JSON parsing fails\n * @param responseText The raw response text from Claude\n * @param expectedDates Array of expected dates for facts\n * @returns Array of parsed facts\n */\nfunction parseFallbackFacts(responseText, expectedDates) {\n // Try to extract facts using regex\n const factPattern = /(\\d{4}-\\d{2}-\\d{2})[\"']?[,:]?\\s*[\"']?(.*?)[\"']?[,}]/gs;\n const facts = [];\n let match;\n\n while ((match = factPattern.exec(responseText)) !== null) {\n if (match.length >= 3) {\n facts.push({\n date: match[1],\n text: match[2].trim(),\n });\n }\n }\n\n // If we couldn't extract any facts, try another approach\n if (facts.length === 0) {\n // Look for quoted text that might be facts\n const lines = responseText.split(\"\\n\");\n let currentDate = null;\n\n for (let i = 0; i < lines.length; i++) {\n const line = lines[i].trim();\n\n // Check if this line contains a date\n const dateMatch = line.match(/(\\d{4}-\\d{2}-\\d{2})/);\n if (dateMatch) {\n currentDate = dateMatch[1];\n } else if (currentDate && line.length > 10) {\n // If we have a date and this is a non-empty line, treat it as a fact\n facts.push({\n date: currentDate,\n text: line.replace(/[\"']/g, \"\").trim(),\n });\n currentDate = null;\n }\n }\n }\n\n // As a last resort, assign facts to dates in order\n if (facts.length === 0 && expectedDates.length > 0) {\n // Extract any sentences that look like facts\n const sentences = responseText.match(/[^.!?]+[.!?]+/g) || [];\n\n for (let i = 0; i < Math.min(sentences.length, expectedDates.length); i++) {\n let factText = sentences[i].trim();\n\n // Clean up the fact text\n factText = factText.replace(/[\"']/g, \"\").trim();\n\n if (factText.length > 10) {\n facts.push({\n date: expectedDates[i],\n text: factText,\n });\n }\n }\n }\n\n return facts;\n}\n\n/**\n * Main function to generate and store fun facts for the next 7 days\n */\nexport async function generateAndStoreFunFacts() {\n try {\n // Get previous fun facts\n const previousFacts = await getPreviousFunFacts();\n\n // Generate new fun facts\n const newFacts = await generateFunFacts(previousFacts);\n\n if (!newFacts || newFacts.length === 0) {\n console.error(\"Failed to generate fun facts\");\n return \"Failed to generate fun facts\";\n }\n\n // Get dates for the next 7 days\n const today = DateTime.now().setZone(\"America/New_York\").startOf(\"day\");\n const nextSevenDays = Array.from({ length: 7 }, (_, i) => {\n return today.plus({ days: i }).toFormat(\"yyyy-MM-dd\");\n });\n\n // Delete existing fun facts for these dates\n await deleteExistingFunFacts(nextSevenDays);\n\n // Insert new fun facts\n for (const fact of newFacts) {\n await insertFunFact(fact.date, fact.text);\n }\n\n console.log(`Generated and stored ${newFacts.length} fun facts`);\n return `Generated and stored ${newFacts.length} fun facts`;\n } catch (error) {\n console.error(\"Error in generateAndStoreFunFacts:\", error);\n return \"Error generating fun facts\";\n }\n}\n\n/**\n * Cron job entry point - runs weekly to generate fun facts for the next 7 days\n * Intended to be used as a Val Town cron job\n */\nexport default async function() {\n console.log(\"Running fun facts generation cron job...\");\n return await generateAndStoreFunFacts();\n}\n\n// For testing with Deno directly\nif (import.meta.main) {\n await generateAndStoreFunFacts();\n}",[],[141,237],["D",1746395711882],[185,186,187,188,189],[141],["D",1746395712001],[],[147],"745e05bc-2932-11f0-8f2b-569c3dd06744","741467fe-2932-11f0-b711-569c3dd06744",["D",1746395712553],[],[153,131,32],"745a11c8-2932-11f0-a1d6-569c3dd06744","745a125e-2932-11f0-a1d6-569c3dd06744",17,["D",1746395712531],"/**\n * @jsxImportSource https://esm.sh/react@18.2.0\n */\n\nexport interface Memory {\n id: string; // UUID\n date: string; // ISO 8601 date string or similar\n text: string;\n createdBy?: string | null; // Optional: Who/what created the memory\n createdDate?: number | null; // Optional: Unix timestamp (integer)\n tags?: string | null; // Optional: Comma-separated string or JSON\n}\n",[],[153,131,193],"7414672c-2932-11f0-b711-569c3dd06744",6,["D",1746395712102],[181,182],[153,131],"742d2eb0-2932-11f0-a1d6-569c3dd06744","components","742d2f5a-2932-11f0-a1d6-569c3dd06744","741c4a3c-2932-11f0-b8a9-569c3dd06744",9,["D",1746395712264],[],[153,275,268],"frontend","741c497e-2932-11f0-b8a9-569c3dd06744",7,["D",1746395712154],[179],[153,275],"7436f922-2932-11f0-bfad-569c3dd06744","database","7436f9e0-2932-11f0-bfad-569c3dd06744","74244976-2932-11f0-b92e-569c3dd06744",10,["D",1746395712329],[],[153,289,282],"backend","742448ae-2932-11f0-b92e-569c3dd06744",8,["D",1746395712207],[177],[153,289],["D",1746395711946],[176,178,180],[153],["D",1746395712054],[],[159],["D",1746395711620],{"_96":95,"_103":99},{"_96":95,"_97":-5,"_98":99,"_18":54,"_100":101,"_102":24},{"_13":61,"_31":86,"_42":41,"_87":43,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":44,"_94":95},"ctx",{"_79":-5,"_122":338,"_339":340,"_341":342,"_343":24,"_344":24,"_345":24,"_346":58,"_347":-5,"_348":-7,"_349":-7,"_350":63,"_351":24,"_352":24,"_353":-5,"_354":24,"_355":24,"_356":24,"_357":-5},"ENV",{"_309":310,"_311":312,"_313":86,"_314":315,"_316":317,"_318":319,"_320":321,"_322":323,"_324":325,"_326":327,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","3311aee16864ff1e27d71000ea53bb42b92a6efc","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v18