matrix_notifications #3
@ -1,4 +0,0 @@
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export N8N_SECRET='11ECjor0@iM9CR3XxEn2GkNl'
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export N8N_WEBHOOK_URL='http://192.168.178.159:5678/webhook-test/e054ae2d-95d0-4999-9cc7-6f8fa0d44c8f'
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python src/test_n8n.py
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@ -11,7 +11,11 @@ class OllamaGenerator:
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self.inner_title = inner_title
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self.content = content
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self.response = None
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self.chroma = chromadb.HttpClient(host="172.18.0.2", port=8000)
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try:
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chroma_port = int(os.environ['CHROMA_PORT'])
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except ValueError as e:
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raise Exception(f"CHROMA_PORT is not an integer: {e}")
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self.chroma = chromadb.HttpClient(host=os.environ['CHROMA_HOST'], port=chroma_port)
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ollama_url = f"{os.environ["OLLAMA_PROTOCOL"]}://{os.environ["OLLAMA_HOST"]}:{os.environ["OLLAMA_PORT"]}"
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self.ollama_client = Client(host=ollama_url)
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self.ollama_model = os.environ["EDITOR_MODEL"]
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@ -20,7 +24,7 @@ class OllamaGenerator:
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self.llm = ChatOllama(model=self.ollama_model, temperature=0.6, top_p=0.5) #This is the level head in the room
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self.prompt_inject = f"""
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You are a journalist, Software Developer and DevOps expert
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writing a 3000 word draft blog for other tech enthusiasts.
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writing a 3000 word draft blog article for other tech enthusiasts.
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You like to use almost no code examples and prefer to talk
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in a light comedic tone. You are also Australian
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As this person write this blog as a markdown document.
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@ -116,7 +120,7 @@ class OllamaGenerator:
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prompt_system = f"""
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You are an editor taking information from {len(self.agent_models)} Software
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Developers and Data experts
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writing a 3000 word blog. You like when they use almost no code examples.
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writing a 3000 word blog article. You like when they use almost no code examples.
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You are also Australian. The content may have light comedic elements,
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you are more professional and will attempt to tone these down
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As this person produce and an amalgamtion of this blog as a markdown document.
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@ -154,19 +158,7 @@ class OllamaGenerator:
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with open(filename, "w") as f:
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f.write(self.generate_markdown())
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# TODO: Make this generic a "create message for system" if you will
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# This will allow me to control the system and human prompt at the client
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# level rather than having to play within the class
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def generate_commit_message(self):
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prompt_system = "You are a blog creator commiting a piece of content to a central git repo"
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prompt_human = f"Generate a 5 word git commit message describing {self.response}"
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def generate_system_message(self, prompt_system, prompt_human):
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messages = [("system", prompt_system), ("human", prompt_human),]
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commit_message = self.llm.invoke(messages).text()
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return commit_message
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def generate_notification_summary(self):
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prompt_system = "You are a blog creator notifiying the final editor of the final creation of blog"
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prompt_human = f"Generate a 50 word summary describing {self.response}"
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messages = [("system", prompt_system), ("human", prompt_human),]
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notification_message = self.llm.invoke(messages).text()
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return notification_message
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ai_message = self.llm.invoke(messages).text()
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return ai_message
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20
src/main.py
20
src/main.py
@ -32,17 +32,28 @@ for note in tril_notes:
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# Generate commit messages and push to repo
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commit_message = ai_gen.generate_commit_message()
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print("Generating Commit Message")
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git_sytem_prompt = "You are a blog creator commiting a piece of content to a central git repo"
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git_human_prompt = f"Generate a 5 word git commit message describing {ai_gen.response}. ONLY OUTPUT THE RESPONSE"
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commit_message = ai_gen.generate_system_message(git_sytem_prompt, git_human_prompt)
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git_user = os.environ["GIT_USER"]
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git_pass = os.environ["GIT_PASS"]
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repo_manager = git_repo.GitRepository("blog/", git_user, git_pass)
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print("Pushing to Repo")
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repo_manager.create_copy_commit_push(blog_path, os_friendly_title, commit_message)
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# Generate notification for Matrix
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notification_message = ai_gen.generate_notification_summary()
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print("Generating Notification Message")
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git_branch_url = f'https://git.aridgwayweb.com/armistace/blog/src/branch/{os_friendly_title}/src/content/{os_friendly_title}.md'
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n8n_system_prompt = f"You are a blog creator notifiying the final editor of the final creation of blog available at {git_branch_url}"
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n8n_prompt_human = f"""
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Generate an informal 150 word
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summary describing {ai_gen.response}.
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Don't address it or use names. ONLY OUTPUT THE RESPONSE
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"""
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notification_message = ai_gen.generate_system_message(n8n_system_prompt, n8n_prompt_human)
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secret_key = os.environ['N8N_SECRET']
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webhook_url = os.environ['N8N_WEBHOOK_URL']
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git_branch_url = f'https://git.aridgwayweb.com/armistace/blog/src/branch/{os_friendly_tile}'
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notification_string = f"""
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<h2>{tril_notes[note]['title']}</h2>
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<h3>Summary</h3>
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@ -59,6 +70,7 @@ for note in tril_notes:
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webhook_client = N8NWebhookJwt(secret_key, webhook_url)
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print("Notifying")
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n8n_result = webhook_client.send_webhook(payload)
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print(f"N8N response: {n8n_result}")
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print(f"N8N response: {n8n_result['status']}")
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@ -1,16 +0,0 @@
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import os
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from datetime import datetime
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from notifications.n8n import N8NWebhookJwt
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secret_key = os.environ['N8N_SECRET']
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webhook_url = os.environ['N8N_WEBHOOK_URL']
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payload = {
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"message": "Hello, N8N webhook with JWT!",
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"timestamp": datetime.now().isoformat()
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}
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webhook_client = N8NWebhookJwt(secret_key, webhook_url)
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result = webhook_client.send_webhook(payload)
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print(result['status'])
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Block a user