File Type: ts
Generated Description:
This TypeScript file (tech-week.ts
) processes a JSON file containing information about tech events, filters and selects a subset of non-overlapping events, generates an optimal route (if applicable), and uses a large language model (LLM) to suggest which events to attend based on the filtered data. The final output is a markdown file containing the LLM's recommendations.
The script reads a JSON file (tech-week.json
) containing tech event details, validates the data using Zod, filters the events based on criteria (e.g., excluding "Invite Only" events and those without a neighborhood), selects non-overlapping events using a custom algorithm, and then calculates an optimal route between those events using the Google Maps API. Finally, it presents this information to an LLM (likely OpenAI's GPT-4) to receive personalized recommendations and writes the LLM's response to a markdown file (response.md
). The script then opens this markdown file using the system's default application.
-
eventsOverlap(event1, event2)
: This function determines if two events overlap based on their start times and an estimated duration (2 hours). It uses Date objects for time comparisons. -
findNonOverlappingEvents(events)
: This function takes an array of events and returns a new array containing only the non-overlapping events, sorted chronologically. It utilizes theeventsOverlap
function. -
calculateRoutes(events, mapsService)
: This function (incomplete in the provided snippet) uses the Google Maps service to calculate the optimal route between the selected non-overlapping events. It constructs route information in markdown format for inclusion in the LLM prompt. -
Zod Schema Validation (
TechWeekEventSchema
): A Zod schema is used to validate the structure and data types of each event object within the JSON file, ensuring data integrity. -
LLM Interaction (
generateText
): The script leverages an LLM (OpenAI's GPT-4) to provide personalized event recommendations based on the filtered and routed events. The prompt includes the filtered events and route information. -
Google Maps API Integration: The script integrates with the Google Maps API to calculate routes between event locations. This requires a Google Maps API key.
- Data Validation: Uses Zod for robust data validation, ensuring data integrity and preventing runtime errors.
- Functional Programming: The script employs functional programming principles, using functions like
eventsOverlap
andfindNonOverlappingEvents
to improve code organization and readability. - Asynchronous Operations: Leverages
async/await
for handling asynchronous operations, such as file reading, API calls, and LLM interaction. - Error Handling: Uses
try...catch
blocks to handle potential errors during file reading, data parsing, API calls, and LLM interactions. - Environmental Variables: Uses
dotenv
to load environment variables from a.env
file, making it easy to manage sensitive information like API keys. - LLM-based Decision Making: The script intelligently uses an LLM to provide personalized recommendations, rather than relying solely on algorithmic filtering.
- Personalized Tech Event Recommendation: The primary use case is to recommend relevant and non-overlapping tech events to individuals based on their location and preferences.
- Event Planning Tool: Could be extended to plan other types of events, requiring changes to the event schema and filtering criteria.
- Route Optimization: The route optimization aspect could be used in other applications requiring efficient route planning.
- Intelligent Event Aggregation: The script demonstrates the power of combining structured data processing, API integration, and LLMs to create intelligent and personalized applications.
The script's structure and functionality are well-designed and demonstrate best practices in modern JavaScript development. The use of an LLM adds a significant layer of sophistication by providing context-aware recommendations beyond simple algorithmic filtering.
Description generated on 4/29/2025, 4:54:28 PM
To provide you with the best recommendations, I would need to know more about your skills, interests, and goals as outlined in your resume. However, I can suggest a few events based on common tech interests such as AI, B2C, SaaS, and Fundraising/Investing. Here's a markdown table with some events that might be of interest:
Please let me know if you have specific areas of interest or skills, and I can tailor the recommendations further!