import { chain, draw, get, isEmpty, omit, pick, tryit } from "radash"; import { safeDestr } from "destr"; import { match } from "ts-pattern"; import { User } from "./drizzle"; import { availableHighlights, availableTones } from "~/shared/constants"; const promo = "Written by https://ghostwriter.rocks 👻"; type Activity = Record; const movingActivityTypes = [ "AlpineSki", "BackcountrySki", "Canoeing", "Crossfit", "EBikeRide", "Elliptical", "Handcycle", "Hike", "IceSkate", "InlineSkate", "Kayaking", "Kitesurf", "NordicSki", "Ride", "RockClimbing", "RollerSki", "Rowing", "Run", "Sail", "Skateboard", "Snowboard", "Snowshoe", "StandUpPaddling", "Surfing", "Swim", "Velomobile", "VirtualRide", "VirtualRun", "Walk", "Wheelchair", "Windsurf", "Yoga", ]; const staticActivityTypes = [ "Soccer", "Workout", "WeightTraining", "StairStepper", "Golf", ]; const stringifyActivity = chain<[Activity], Activity, string>( (activity) => { if (movingActivityTypes.includes(activity.type)) { return omit(activity, [ "laps", "splits_metric", "splits_standard", "hide_from_home", "available_zones", "map", "start_date_local", "gear", "stats_visibility", "embed_token", "name", "description", ]); } if (staticActivityTypes.includes(activity.type)) { return omit(activity, [ "laps", "splits_metric", "splits_standard", "hide_from_home", "available_zones", "map", "start_date_local", "gear", "stats_visibility", "embed_token", "name", "description", "distance", ]); } return omit(activity, [ "laps", "splits_metric", "splits_standard", "hide_from_home", "available_zones", "map", "start_date_local", "gear", "stats_visibility", "embed_token", "name", "description", ]); }, (activity) => JSON.stringify(activity), ); export const createActivityContent = async ({ currentActivity, previousActivities, user, }: { currentActivity: Activity; previousActivities: Activity[]; user: User & { preferences: Preferences }; }) => { const openai = useOpenAI(); const tone = isEmpty(user.preferences.data?.tone) ? (draw(availableTones) as string) : draw(user.preferences.data!.tone!); const highlight = isEmpty(user.preferences.data?.highlights) ? (draw(availableHighlights) as string) : draw(user.preferences.data!.highlights!); const highlightInstructions = match(highlight) .with( "Athletic", () => "Highlight athletic properties and performance. Highlight PR's as well only if available.", ) .with("Area Exploration", () => "Highlight area exploration properties.") .with( "Social", () => "Highlight social properties such as friend participation and activities.", ) .with( "Mood", () => "Highlight on how mood was swinging through the activity.", ) .with("Conditions", () => "Highlight on weather conditions"); const length = match({ tone }) .with({ tone: "Minimalist" }, () => "short") .otherwise(() => draw(["short", "medium", "a-little-more-than-medium"])); const prompt = ` Generate a short title and a ${length}-lengthed description for my strava activity. Use my preferred language and unit system. Try to not exaggerate as I am using Strava often and I want my activites to be unique and easy to read. Don't say things like nothing too fancy or wild. Use a little bit of ${tone} tone to make things less boring. ${highlightInstructions} Maybe comment if any interesting fact in comparison to previous activities. Add #${tone} and #${highlight} at the end of the description. Depending the length of the description, maybe add more hashtags. Language: ${user?.preferences.data!.language} Unit system: ${user?.preferences.data!.units} Activity notes: Distance is in meters, time is in seconds, don't include average speed. Convert time to hours or minutes, whatever's closer. Convert distance to larger units when appropriate, keep in mind we don't need much accuracy. The activity data in json format from strava: ${stringifyActivity(currentActivity)} The recent previous activities in json format: ${previousActivities.map((a) => pick(a, ["distance", "moving_time", "total_elavation_gain", "type", "start_date", "average_speed", "average_watts", "average_heartrate", "max_heartrate"])).map(stringifyActivity)} `; const [aiError, aiResponse] = await openai("/responses", { body: { model: "gpt-4.1", input: [ { role: "user", content: prompt, }, ], text: { format: { type: "json_schema", name: "activity", schema: { type: "object", properties: { title: { type: "string", }, description: { type: "string", }, }, required: ["title", "description"], additionalProperties: false, }, }, }, }, }); const [parseError, responseObject] = tryit( chain( (r) => get(r, "output.0.content.0.text"), (r) => safeDestr<{ title: string; description: string }>(r), ), )(aiResponse); const stravaRequestBody = { name: responseObject!.title, description: [responseObject!.description, promo].join("\n"), }; return [aiError || parseError, stravaRequestBody] as const; };