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5 Commits
fix/sql-in
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swiftyos/e
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7030e76eec | ||
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35aa6d32e2 |
0
rnd/examples/reddit-marketing/README.md
Normal file
0
rnd/examples/reddit-marketing/README.md
Normal file
727
rnd/examples/reddit-marketing/poetry.lock
generated
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727
rnd/examples/reddit-marketing/poetry.lock
generated
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@@ -0,0 +1,727 @@
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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description = "Reusable constraint types to use with typing.Annotated"
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optional = false
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python-versions = ">=3.8"
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files = [
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]
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[[package]]
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name = "anyio"
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||||
version = "4.4.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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]
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[package.dependencies]
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exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
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idna = ">=2.8"
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sniffio = ">=1.1"
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[package.extras]
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[[package]]
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name = "certifi"
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version = "2024.6.2"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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name = "charset-normalizer"
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version = "3.3.2"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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|
||||
{file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
|
||||
{file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "websocket-client"
|
||||
version = "1.8.0"
|
||||
description = "WebSocket client for Python with low level API options"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
|
||||
{file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
|
||||
optional = ["python-socks", "wsaccel"]
|
||||
test = ["websockets"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "5f080d184c0ff54b1603609e0e49900ba6c93a880f5b2a1dd0b6bf29920006f4"
|
||||
23
rnd/examples/reddit-marketing/pyproject.toml
Normal file
23
rnd/examples/reddit-marketing/pyproject.toml
Normal file
@@ -0,0 +1,23 @@
|
||||
[tool.poetry]
|
||||
name = "reddit-marketing"
|
||||
version = "0.1.0"
|
||||
description = "Reddit Marketing Agent"
|
||||
authors = ["SwiftyOS <craigswift13@gmail.com>"]
|
||||
license = "MIT"
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10"
|
||||
openai = "^1.34.0"
|
||||
pydantic = "^2.7.4"
|
||||
praw = "^7.7.1"
|
||||
click = "^8.1.7"
|
||||
python-dotenv = "^1.0.1"
|
||||
jinja2 = "^3.1.4"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^8.2.2"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
0
rnd/examples/reddit-marketing/redagent/__init__.py
Normal file
0
rnd/examples/reddit-marketing/redagent/__init__.py
Normal file
198
rnd/examples/reddit-marketing/redagent/__main__.py
Normal file
198
rnd/examples/reddit-marketing/redagent/__main__.py
Normal file
@@ -0,0 +1,198 @@
|
||||
import datetime
|
||||
import os
|
||||
|
||||
import click
|
||||
import praw
|
||||
import pydantic
|
||||
from dotenv import load_dotenv
|
||||
from jinja2 import Environment, FileSystemLoader
|
||||
from openai import OpenAI
|
||||
|
||||
load_dotenv()
|
||||
|
||||
|
||||
class EvalPost(pydantic.BaseModel):
|
||||
is_of_value: bool
|
||||
|
||||
|
||||
class Comment(pydantic.BaseModel):
|
||||
message: str
|
||||
|
||||
|
||||
@click.group()
|
||||
def main():
|
||||
"""RedAgent- A reddit marketing agent"""
|
||||
|
||||
|
||||
@main.command()
|
||||
def test():
|
||||
reddit = praw.Reddit(
|
||||
client_id=os.environ.get("CLIENT_ID"),
|
||||
client_secret=os.environ.get("CLIENT_SECRET"),
|
||||
user_agent="AutoGPT Test Script",
|
||||
username=os.environ.get("USERNAME"),
|
||||
password=os.environ.get("PASSWORD"),
|
||||
)
|
||||
print(reddit.user.me())
|
||||
print(reddit.subreddit("AutoGPT").title)
|
||||
|
||||
|
||||
@main.command()
|
||||
@click.option("--no-post", is_flag=True, help="Allow the system to post comments")
|
||||
@click.option("-s", "--subreddits", multiple=True, help="Subreddits to search in")
|
||||
@click.option("-p", "--product", help="The product you want to promote")
|
||||
def start(no_post, subreddits, product):
|
||||
client = OpenAI()
|
||||
|
||||
reddit = praw.Reddit(
|
||||
client_id=os.environ.get("CLIENT_ID"),
|
||||
client_secret=os.environ.get("CLIENT_SECRET"),
|
||||
user_agent="AutoGPT Test Script",
|
||||
username=os.environ.get("USERNAME"),
|
||||
password=os.environ.get("PASSWORD"),
|
||||
)
|
||||
for sub in subreddits:
|
||||
posts = get_recent_posts(sub, reddit)
|
||||
for post in posts:
|
||||
if is_relevant(post, product, client):
|
||||
print(f"[Y] {post.title}")
|
||||
post_marketing_message(post, product, client, no_post)
|
||||
else:
|
||||
print(f"[N] {post.title}")
|
||||
|
||||
|
||||
def get_recent_posts(subreddit, reddit, time_period=3):
|
||||
# Calculate the time three hours ago
|
||||
three_hours_ago = datetime.datetime.utcnow() - datetime.timedelta(hours=time_period)
|
||||
|
||||
sub = reddit.subreddit(subreddit)
|
||||
posts = []
|
||||
# Get submissions from the subreddit
|
||||
for submission in sub.new(limit=None):
|
||||
post_time = datetime.datetime.utcfromtimestamp(submission.created_utc)
|
||||
if post_time > three_hours_ago:
|
||||
posts.append(submission)
|
||||
print(f"Title: {submission.title}, Time: {post_time}")
|
||||
else:
|
||||
break # Stop checking if the post is older than 3 hours
|
||||
print(f"Found {len(posts)} posts matching your criteria")
|
||||
return posts
|
||||
|
||||
|
||||
def load_template(template_name, json_format, post, product):
|
||||
# Define the template loader
|
||||
loader = FileSystemLoader(".")
|
||||
env = Environment(loader=loader)
|
||||
# Define the template files
|
||||
relevent_system_message_file = f"{template_name}.sys.j2"
|
||||
relevent_task_message_file = f"{template_name}.user.j2"
|
||||
sys_prompt = None
|
||||
user_prompt = None
|
||||
# Check if the files exist
|
||||
if os.path.exists(relevent_system_message_file):
|
||||
# Read in the file and render the template
|
||||
with open(relevent_system_message_file, "r") as f:
|
||||
system_template = env.get_template(f.name)
|
||||
sys_prompt = system_template.render(
|
||||
{
|
||||
"product": product,
|
||||
"json_fomat": json_format,
|
||||
"post_title": post.title,
|
||||
"post_text": post.selftext,
|
||||
}
|
||||
)
|
||||
if os.path.exists(relevent_task_message_file):
|
||||
# Read in the file and render the template
|
||||
with open(relevent_task_message_file, "r") as f:
|
||||
task_template = env.get_template(f.name)
|
||||
|
||||
user_prompt = task_template.render(
|
||||
{
|
||||
"product": product,
|
||||
"json_fomat": json_format,
|
||||
"post_title": post.title,
|
||||
"post_text": post.selftext,
|
||||
}
|
||||
)
|
||||
|
||||
return sys_prompt, user_prompt
|
||||
|
||||
|
||||
def is_relevant(post, product, client: OpenAI) -> bool:
|
||||
json_format = """{"is_of_value": bool}"""
|
||||
system_mesage, task_message = load_template(
|
||||
"is_relevant", json_format, post, product
|
||||
)
|
||||
if not system_mesage:
|
||||
system_mesage = f"""
|
||||
You are an expert at gurellia marketing and have been tasked with picking reddit posts that are relevant to your product.
|
||||
|
||||
The product you are marketing is:
|
||||
{product}
|
||||
|
||||
Reply in json format like so
|
||||
{json_format}
|
||||
"""
|
||||
if not task_message:
|
||||
task_message = f"""Based on the following post, would posting a reply about your product add value to the discussion?
|
||||
Title: {post.title}
|
||||
Content: {post.selftext}
|
||||
"""
|
||||
|
||||
msgs = [
|
||||
{"role": "system", "content": system_mesage},
|
||||
{"role": "user", "content": task_message},
|
||||
]
|
||||
response = client.chat.completions.create(
|
||||
model="gpt-4-turbo", messages=msgs, response_format={"type": "json_object"}
|
||||
)
|
||||
ans = EvalPost.model_validate_json(
|
||||
response.choices[0].message.content, strict=False
|
||||
)
|
||||
|
||||
if ans.is_of_value:
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
|
||||
|
||||
def post_marketing_message(post, product, client, no_post):
|
||||
json_format = """{"message": str}"""
|
||||
|
||||
system_mesage, task_message = load_template(
|
||||
"marketing_message", json_format, post, product
|
||||
)
|
||||
if not system_mesage:
|
||||
system_mesage = f"""
|
||||
You are an expert at gurellia marketing and have been tasked with writing a reddit comment subtelly promoting your product by telling how you had a simliar problem and used the product your promoting to help solver the problem. Make sure to explain how the product helped.
|
||||
|
||||
The product you are marketing is:
|
||||
{product}
|
||||
|
||||
Reply in json format like so
|
||||
{json_format}
|
||||
"""
|
||||
if not task_message:
|
||||
task_message = f"""Based on the following post, write your gurilla marketing comment
|
||||
Title: {post.title}
|
||||
Content: {post.selftext}
|
||||
"""
|
||||
|
||||
msgs = [
|
||||
{"role": "system", "content": system_mesage},
|
||||
{"role": "user", "content": task_message},
|
||||
]
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model="gpt-4-turbo", messages=msgs, response_format={"type": "json_object"}
|
||||
)
|
||||
reply = Comment.model_validate_json(
|
||||
response.choices[0].message.content, strict=False
|
||||
)
|
||||
if not no_post:
|
||||
post.reply(reply)
|
||||
print(f"Replied to post: {reply}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user