);
};
export default Test;
```
### src/app/addshit/page.tsx
```typescript
"use client"
import { useAction } from "convex/react";
import { api } from "../../../convex/_generated/api";
export default function AddShit() {
const insertMessages = useAction(api.realMessage.handleMessageSubmit);
interface Message {
Date: number;
fromTarget: boolean;
content: string;
timeStamp: number;
}
function parseCSV(csvData: string): Message[] {
const lines = csvData.trim().split('\n').slice(1); // remove header and split into lines
const messages: Message[] = [];
for (const line of lines) {
const [_, dateStr, phoneNumberStr, message, orderStr] = line.split(',');
const messageObj: Message = {
Date: parseFloat(dateStr),
fromTarget: phoneNumberStr.trim() === "True",
content: message,
timeStamp: parseInt(orderStr)
};
messages.push(messageObj);
}
return messages;
}
// Example usage
const csvData = `,Date,Phone Number,Message,Order
2,2208122224.0,True,o shit wrong person,3
3,2208122224.0,True,ignore that plz,4
4,2208122319.0,False,ok haha im better @ mancala anyways,5
5,2208122353.0,True,"oh nooo, I’m horrible at mancala",6
7,2208122353.0,True,just one,8
16,2208130004.0,False,o no i might lose,17
17,2208130005.0,True,i can’t tell if that’s sarcasm or not 😅,18
18,2208130005.0,True,i can’t tell if that’s sarcasm or not 😅,19
20,2208130006.0,False,no really bc the strategy idk i havent played in a while,21
22,2208130008.0,False,yea u won..,23
24,2208130009.0,True,🤭,25
25,2208130009.0,False,i used to play w aaron n i had win streak of like 20+,26
26,2208130009.0,False,esp dots n boxes 😋,27
27,2208130009.0,True,it was on purpose 😃,28
29,2208130011.0,True,i hate dots n boxes because i have to think so far ahead and it hurts my brain,30
31,2208130012.0,False,idk i had weird sudoku mancala puzzle phase for a bit so it was rly fun,32
32,2208130015.0,True,i had a chess phase 🤓,33
33,2208130016.0,True,i do like puzzles and riddle type stuff tho,34
34,2208130017.0,False,yea n summer i did like 1000 piece puzzles every week i was rly bored ig,35
35,2208130019.0,True,you should do them upside down!,36
36,2208130023.0,False,um. no,37
37,2208130030.0,False,ohh,38
38,2208130030.0,False,or mayb ill jus reread pride and prejudice,39
39,2208130030.0,False,yea i want to read Emma next,40
40,2208130030.0,False,but it takes so long to comprehend bc the english she uses is so confusing,41
41,2208130030.0,False,mhm or like your immersed in the reading n then time passes by a lot faster,42
42,2208130030.0,False,is it like kinda depressing or,43
43,2208130030.0,False,whats it ab,44
44,2208130030.0,False,haha ok ill read it later,45
45,2208130030.0,False,oh that’s interesting,46
46,2208130030.0,False,i didnt even check the list oopsies,47
47,2208130030.0,False,the storm?,48
48,2208130030.0,False,idk i thought id jus finish cuckoo or something,49
49,2208130030.0,False,oh like a 1000 pc transparent puzzle,50
50,2208130030.0,False,over summer i read the paris apartment its like this girl whos gonna go live w her brother but she cant find him when she gets to his apartment n she has to figure out if someone killed him or whatever,51
51,2208130030.0,False,yea i think my favorite genre is romance or mystery,52
52,2208130030.0,False,ya its basically jus stupid stinky guys hating on women lmao,53
53,2208130030.0,False,my friend liked the movie n other ppl on letterboxd did too but i fell asleep 🥱,54
54,2208130030.0,False,like i like the books i read for leisure but they were easier n ive only read half of One Flew Over Cuckoos Nest bc i dont rly like it,55
55,2208130030.0,False,yea i started reading over summer again bc i was bored but i liked it i jus dont think i chose a good book for ap lit lol,56
56,2208130030.0,False,shes funny like she seems a little lost but shes trying,57
57,2208130030.0,False,yea shes so considerate,58
58,2208130030.0,False,i just need applications tho ill prob turn it in in like 30 mins,59
59,2208130030.0,False,im not done yet but i sent brandon like 2 ppls work so he did his n sent it to me lmao,60
60,2208130030.0,False,yea i dont think she cares too much plus she literally told us we could paste pictures of the posters,61
61,2208130030.0,False,yea im pretty sure bc tonight was the original due date,62
62,2208130030.0,False,what are u gonna resd for the sem,63
63,2208130030.0,False,the reading level was kinda like middle school but the plot was really good,64
64,2208130030.0,False,oh i heard ab persuasion,65
65,2208130030.0,True,i def wanna read a romance book,66
66,2208130030.0,True,but then I also want to read a book with someone else so i don’t have to present alone and plus we can talk about the book,67
67,2208130030.0,True,are you going to read a mystery book for this semester?,68
68,2208130030.0,True,which mystery books do you like,69
69,2208130030.0,True,it’s just very agonizing,70
70,2208130030.0,True,i like them bc it’s like the enemy is nobody,71
71,2208130030.0,True,you should try romance novels,72
72,2208130030.0,True,damn,73
73,2208130030.0,True,i looked at the synopsis for it and I thought it would all take place in a hospital so i didn’t want to read that one,74
74,2208130030.0,True,lmao,75
75,2208130030.0,True,no i don’t think it matters too much,76
76,2208130030.0,True,wdym,77
77,2208130030.0,True,yeah and I like her plans for us to read short stories,78
78,2208130030.0,True,yeah lol for some reason i find her personality very amusing,79
79,2208130030.0,True,i think all she cares about is that we like her class and think she’s a good teacher,80
80,2208130030.0,True,how long
[truncated — 35367 more characters]
```
### postcss.config.js
```javascript
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
};
```
### embeddings.py
```python
from openai.embeddings_utils import get_embedding
import pandas as pd
import openai
import config
openai.api_key = config.OPENAI_API_KEY
df = pd.read_csv("output.csv")
df.pop("Date")
df = df.head(500)
df['Embeddings'] = df["Message"].apply(lambda x: get_embedding(x, engine='text-embedding-ada-002'))
# print(df.iloc[0]["Message"])
# print(get_embedding(df.iloc[0]["Message"], engine='text-embedding-ada-002'))
print(df.head())
df.to_csv("output_embeddings2")
```
### tailwind.config.ts
```typescript
import type { Config } from "tailwindcss";
const config: Config = {
content: [
"./src/pages/**/*.{js,ts,jsx,tsx,mdx}",
"./src/components/**/*.{js,ts,jsx,tsx,mdx}",
"./src/app/**/*.{js,ts,jsx,tsx,mdx}",
],
theme: {
extend: {
backgroundImage: {
"gradient-radial": "radial-gradient(var(--tw-gradient-stops))",
"gradient-conic":
"conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))",
},
},
},
plugins: [],
};
export default config;
```
### processData.py
```python
import pandas as pd
import re
def processCsv(f_path, numb, output_path):
# Read the contents of the file
file_path = f_path
phone_numbers = []
messages = []
dates = [] # List to store dates
number = numb
# Regex pattern to match date in the format "Jun 02, 2022 11:19:21 AM"
date_pattern = re.compile(r'[A-Z][a-z]{2} \d{2}, \d{4} \d{2}:\d{2}:\d{2} [AP]M')
# Iterate over each line in the file
with open(file_path, "r", encoding="utf-8", errors="ignore") as file:
current_date = None # Initialize variable to store the current date
for line in file:
# No need to encode and decode the line again
line = line.strip()
# Check if the line contains a date
match = date_pattern.search(line)
if match:
# Update current_date if a date is found
current_date = match.group()
# Check if the line contains the catchphrase
if line.strip() == "Me":
# Append the current date to dates list
dates.append(current_date)
# Get the content from the next line
next_line = next(file, '').strip()
messages.append(next_line)
phone_numbers.append(False)
# Create a pandas DataFrame
df = pd.DataFrame({'Date': dates, 'Phone Number': phone_numbers, 'Message': messages})
phone_numbers = []
messages = []
dates = [] # List to store dates
# Regex pattern to match date in the format "Jun 02, 2022 11:19:21 AM"
date_pattern = re.compile(r'[A-Z][a-z]{2} \d{2}, \d{4} \d{2}:\d{2}:\d{2} [AP]M')
# Iterate over each line in the file
with open(file_path, "r", encoding="utf-8", errors="ignore") as file:
current_date = None # Initialize variable to store the current date
for line in file:
# No need to encode and decode the line again
line = line.strip()
# Check if the line contains a date
match = date_pattern.search(line)
if match:
# Update current_date if a date is found
current_date = match.group()
# Check if the line contains the catchphrase
if line.strip() == number:
# Append the current date to dates list
dates.append(current_date)
# Get the content from the next line
next_line = next(file, '').strip()
messages.append(next_line)
phone_numbers.append(True)
# Create a pandas DataFrame
df1 = pd.DataFrame({'Date': dates, 'Phone Number': phone_numbers, 'Message': messages})
# Assuming df1 and df2 are your two pandas DataFrames
# Concatenate the two DataFrames
comb = pd.concat([df, df1], ignore_index=True)
comb['Date'] = pd.to_datetime(comb['Date'], format='%b %d, %Y %I:%M:%S %p')
# Convert datetime values to concatenated integer without seconds and first two digits of the year
comb['Date'] = comb['Date'].dt.strftime('%y%m%d%H%M').astype(float)
# Sort the combined DataFrame based on the 'Date' category
comb.sort_values(by='Date', inplace=True)
# Reset index after sorting
comb.reset_index(drop=True, inplace=True)
comb['Order'] = range(1, len(comb) + 1)
# Print the combined and sorted DataFrame
comb.to_csv(output_path)
# from flask import Flask, request, jsonify
# app = Flask(__name__)
# @app.route('/run-python-function', methods=['POST'])
# def run_python_function():
# data = request.json # Extract input data from JSON body of the HTTP request
# file_path = data['file_path'] # Access specific input parameter
# number = data['number']
# # Call your Python function with the received input
# result = processCsv(file_path, number, "output_file")
# return jsonify(result=result) # Return result as JSON response
# def your_python_function(input_parameter):
# # Your Python function logic here
# return processed_result
# if __name__ == '__main__':
# app.run(debug=True)
processCsv("/+17737937551.txt", "+17737937551", "output.csv")
```
[13 more indexed source files omitted to keep this export small. The full file list is in the Codebase structure section above.]
