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System: | ||
You are a helpful and intelligent AI assistant, knowledgeable about a wide range of topics and highly capable of a great many tasks. | ||
Specifically: | ||
# Instructions | ||
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## You are **GPT-4**, an advanced *Large Language Model* trained by *OpenAI* | ||
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- Knowledge cutoff: 2023-10 | ||
- Current date: 2024-09 | ||
- Image input capabilities: **Enabled** | ||
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Latex (inline): \( \) | ||
Latex (block): \[ \] | ||
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The user provided the following information about themselves in a **User Profile**. | ||
**Only** acknowledge the *Profile* when the request is *directly related* to the information provided. | ||
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## User Profile | ||
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- 19M UCSD Y1 Student CA USA | ||
- Biology: Bioinformatics Major | ||
- Resourceful+Advanced Committed Learning | ||
- Tech-Savvy M1 Air MacOS Power-User | ||
- Know CLI, Homebrew, GitHub, etc. | ||
- Passions: BioTech Med Research, Genetics, CompSci/AI | ||
- Goals: Succeed+Grades | ||
- Classes: MATH-Calc, BILD-LabWork, MCWP-Writing, EDS-DEI/Education, CHEM, CSE | ||
- Progressive Utilitarian Socialist | ||
- Name: Zaki | ||
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## Preamble | ||
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- Before you begin, *take a deep breath* and **Think Carefully**. | ||
- Respond to *all queries* as a **helpful assistant**, using **HIGH** Stakes Processing—*I believe in you*! | ||
- You **MUST** be **accurate** & able to help me get *correct answers*. | ||
- **Motivation**: *User will tip $10k* for best possible outputs! | ||
- I'm disabled/don’t have fingers, so thoughtfully written, lengthy responses are required. | ||
- Your **systematic** *step-by-step process* and *self-correction* via *Tree of Thoughts* will... | ||
- Enhance the **quality** of responses to *complex queries*. | ||
- All adopted **EXPERT Roles** = *Qualified Job/Subject Authorities*. | ||
- Take **multiple turns**—I'll prompt you to "*Continue*". | ||
- **ALWAYS** comply with *directions*! | ||
- If you must be reminded to follow instructions, I will say "*Reminder*!". | ||
- You will then reread **ALL** guidelines & *modify your behavior* as necessary. | ||
- *Anticipate* my needs to best *fulfill* them (e.g. provide *full* code). | ||
- **Optimize** Valuable Tokens Wisely/*Efficiently*! | ||
- Don't be lazy—**Work Hard**! | ||
- **MAXIMUM EFFORT** *Needed!* | ||
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*The user provided additional info about how they would like you to respond:* | ||
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## **Custom Instructions** | ||
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- **Tone**: *Professional/Semi-Formal* | ||
- **Length**: *Highest Verbosity Required* | ||
- **Responses**: *Detailed, thorough, in-depth, complex, sophisticated, accurate, factual, thoughtful, nuanced answers with careful precise reasoning.* | ||
- **Personality**: *Intelligent, logical, analytical, insightful, helpful, honest, proactive, knowledgeable, meticulous, informative, competent, motivated.* | ||
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## Methods | ||
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- *Always*: Assume **Roles** from a **Mixture of Experts** | ||
- (e.g. Expert Java programmer/developer, Chemistry Tutor, etc.) | ||
- allows you to *best complete tasks*. | ||
- **POV** = *Advanced Virtuoso* in queried field! | ||
- Set a **clear objective** | ||
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### Work toward goal | ||
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- Apply actions in **Chain of Thoughts**… | ||
- But *Backtrack* in a **Tree of Decisions** as *needed*! | ||
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### Accuracy | ||
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- *Reiterate* on Responses | ||
- *Report* & **Correct Errors** — *Enhance Quality*! | ||
- State any *uncertainty*-% confidence | ||
- Skip reminders about your nature & ethical warnings; I'm aware. | ||
- Remain **honest** and **direct** at *all times*. | ||
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#### Avoid Average Neutrality | ||
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- Vary *Multiple* Strong Opinions/Views | ||
- Council of *Debate/Discourse* | ||
- Emulate *Unique+Sophisticated* Writing Style | ||
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### Verbosity Adjusted with “V=#” Notation | ||
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- **V1**=*Extremely Terse* | ||
- **V2**=*Concise* | ||
- *DEFAULT*: **V3**=*Detailed!* | ||
- **V4**=*Comprehensive* | ||
- **V5**=*Exhaustive+Nuanced Detail; Maximum Depth/Breadth!* | ||
- If omitted, *extrapolate*-use your best **judgment**. | ||
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### Writing Style | ||
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- Use **clear, direct** *language* and **avoid** *complex terminology*. | ||
- Maintain a **natural** but *professional* **tone**. | ||
- Aim for a **Flesch reading score** of *80 or higher*. | ||
- Use the **active voice**; *Avoid adverbs*. | ||
- *Avoid buzzwords* — use **plain English**. | ||
- Use **jargon** where *relevant*. | ||
- **Avoid** being *salesy* or *overly enthusiastic*; instead, express **calm confidence**. | ||
- **Avoid** excessive *transitions* & *repetition*. | ||
- No *didactic* endings. | ||
- Your *writing* will thus *imitate* a **human voice** and **student** *language*. | ||
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### Other | ||
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- Assume **all** necessary *expert subject roles* & *length* | ||
- **Show** set *thoughts* | ||
- Lower V for simple tasks-remain **coherent** | ||
- Prioritize *Legibility* / **Be Readable** | ||
- *Summarize Conclusions* | ||
- Use **Markdown**! | ||
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## Tools | ||
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### python | ||
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When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 60.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. | ||
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This *feature* may also be referred to as "**Code Interpreter**" or "**Advanced Data Analysis**". | ||
You may access and read uploaded files using this tool. | ||
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## **Important**: *Be* | ||
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- *Organic+Concise>Expand* | ||
- **Direct**-*NO* generic filler/fluff. | ||
- **Balance** *Complexity & Clarity* | ||
- **ADAPT!** | ||
- Use **HIGH EFFORT**! | ||
- *Work/Reason* **Systematically**! | ||
- **Always** *Think Step by Step* & *Verify Processes*! | ||
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### Additional Notes | ||
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- When a message starts with, "**Voice Transcription:**" it means the User spoke their query via Whisper, and your response will be read aloud. | ||
- Take into account when responding; this flag means you are having a Voice Conversation. | ||
- The following is your **Conversation History** with the User, including *Queries* and *Responses*. | ||
- **Always** consider context. | ||
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*The User's first message begins here:* | ||
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User: Write a script to automate sending daily email reports in Python, and walk me through how I would set it up step-by-step. | ||
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Assistant: | ||
Sure, Zaki. Let's create a Python script to automate sending daily email reports. This will involve: | ||
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1. **Setting Up the Python Environment**. | ||
2. **Writing the Email Script**. | ||
3. **Scheduling the Script to Run Daily**. | ||
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### Step 1: Setting Up the Python Environment | ||
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1. **Install Python Packages**: | ||
- Ensure you have Python installed. If not, download and install it from [python.org](https://www.python.org/). | ||
- We'll use `smtplib` and `email` for sending emails and `schedule` for scheduling tasks. Install these packages using `pip`: | ||
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```sh | ||
pip install schedule | ||
``` | ||
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### Step 2: Writing the Email Script | ||
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Let's write a Python script that sends an email with your daily report. | ||
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1. **Create the Script**: | ||
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Create a file called `daily_report_emailer.py`. | ||
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2. **Write the Code**: | ||
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```python | ||
import smtplib | ||
from email.mime.multipart import MIMEMultipart | ||
from email.mime.text import MIMEText | ||
from email.mime.base import MIMEBase | ||
from email import encoders | ||
import schedule | ||
import time | ||
from datetime import datetime | ||
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# Email details | ||
EMAIL_ADDRESS = '[email protected]' | ||
EMAIL_PASSWORD = 'your_password' | ||
RECIPIENT_EMAIL = '[email protected]' | ||
SUBJECT = 'Daily Report' | ||
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def send_email(): | ||
# Create a multipart message | ||
msg = MIMEMultipart() | ||
msg['From'] = EMAIL_ADDRESS | ||
msg['To'] = RECIPIENT_EMAIL | ||
msg['Subject'] = SUBJECT | ||
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# Email body | ||
body = 'This is your daily report.' | ||
msg.attach(MIMEText(body, 'plain')) | ||
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# Attach a file | ||
filename = 'report.txt' # Replace this with the path to your report file | ||
attachment = open(filename, 'rb') | ||
part = MIMEBase('application', 'octet-stream') | ||
part.set_payload((attachment).read()) | ||
encoders.encode_base64(part) | ||
part.add_header('Content-Disposition', f"attachment; filename= {filename}") | ||
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msg.attach(part) | ||
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# Connect to the server | ||
with smtplib.SMTP('smtp.gmail.com', 587) as server: | ||
server.starttls() | ||
server.login(EMAIL_ADDRESS, EMAIL_PASSWORD) | ||
text = msg.as_string() | ||
server.sendmail(EMAIL_ADDRESS, RECIPIENT_EMAIL, text) | ||
print(f"Email sent to {RECIPIENT_EMAIL} at {datetime.now()}") | ||
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# Schedule the script to run daily at a specific time, e.g., 8:00 AM | ||
schedule.every().day.at("08:00").do(send_email) | ||
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if __name__ == "__main__": | ||
while True: | ||
schedule.run_pending() | ||
time.sleep(1) | ||
``` | ||
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### Step 3: Scheduling the Script to Run Daily | ||
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1. **Using `cron` on macOS**: | ||
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To run the script daily, you can use `cron`. | ||
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- Open your `crontab` file: | ||
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```sh | ||
crontab -e | ||
``` | ||
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- Add the following line to schedule your script to run daily at 8:00 AM: | ||
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```sh | ||
0 8 * * * /usr/bin/python3 /path/to/your/daily_report_emailer.py | ||
``` | ||
Ensure `/usr/bin/python3` points to your Python executable and `/path/to/your/daily_report_emailer.py` is the correct path to your script. | ||
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### Additional Considerations | ||
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- **Email Security**: If using Gmail, make sure to generate an app password instead of using your regular password. Follow Google's instructions for [App Passwords](https://support.google.com/accounts/answer/185833). | ||
- **Alternative Scheduling**: For more complex scheduling needs, you can use advanced schedulers like `Airflow`, `Celery`, or even a cloud-based solution like AWS Lambda with EventBridge. | ||
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### Summary | ||
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By following these steps: | ||
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1. **Set up your environment and install necessary packages.** | ||
2. **Write the email script to send your daily report.** | ||
3. **Schedule the script to run daily using `cron`.** | ||
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This method automates the daily reports efficiently. If you have additional requirements or need further customization, feel free to ask! | ||
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--- | ||
Total Tokens: 2407 | ||
Total Cost: ¢2.260920 | ||
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----- | ||
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CONTEXT: Above, you may be shown a conversation between the User -- a Human -- and an AI Assistant (yourself). If not, a summary of said conversation is below for you to reference. INSTRUCTION: The User will send a message/prompt with the expectation that you will pick up where you left off and seamlessly continue the conversation. Do not give any indication that the conversation had paused or resumed; simply answer the User's next query in the context of the above Chat, inferring the Context and asking for additional information if necessary. | ||
--- | ||
Conversation Summary: In this conversation, Zaki requested a step-by-step guide for creating a Python script to automate the daily sending of email reports. The AI assistant provided a detailed procedure that included setting up the Python environment and necessary libraries, writing a script to send emails with an attachment, and scheduling the script to run daily using `cron` on macOS. It also highlighted considerations for email security, specifically for using Gmail. The assistant concluded by summarizing the steps taken to achieve the task. |
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