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matrix_not
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56
.gitea/workflows/deploy.yml
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56
.gitea/workflows/deploy.yml
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@ -0,0 +1,56 @@
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name: Create Blog Article if new notes exist
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on:
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schedule:
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- cron: "15 3 * * *"
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push:
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branches:
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- master
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jobs:
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prepare_blog_drafts_and_push:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Install dependencies
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shell: bash
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run: |
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apt update && apt upgrade -y
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apt install rustc cargo python-is-python3 pip python3-venv python3-virtualenv libmagic-dev git -y
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virtualenv .venv
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source .venv/bin/activate
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pip install --upgrade pip
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pip install -r requirements.txt
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git config --global user.name "Blog Creator"
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git config --global user.email "ridgway.infrastructure@gmail.com"
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git config --global push.autoSetupRemote true
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- name: Create .env
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shell: bash
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run: |
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echo "TRILIUM_HOST=${{ vars.TRILIUM_HOST }}" > .env
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echo "TRILIUM_PORT='${{ vars.TRILIUM_PORT }}'" >> .env
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echo "TRILIUM_PROTOCOL='${{ vars.TRILIUM_PROTOCOL }}'" >> .env
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echo "TRILIUM_PASS='${{ secrets.TRILIUM_PASS }}'" >> .env
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echo "TRILIUM_TOKEN='${{ secrets.TRILIUM_TOKEN }}'" >> .env
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echo "OLLAMA_PROTOCOL='${{ vars.OLLAMA_PROTOCOL }}'" >> .env
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echo "OLLAMA_HOST='${{ vars.OLLAMA_HOST }}'" >> .env
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echo "OLLAMA_PORT='${{ vars.OLLAMA_PORT }}'" >> .env
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echo "EMBEDDING_MODEL='${{ vars.EMBEDDING_MODEL }}'" >> .env
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echo "EDITOR_MODEL='${{ vars.EDITOR_MODEL }}'" >> .env
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export PURE='["${{ vars.CONTENT_CREATOR_MODELS_1 }}", "${{ vars.CONTENT_CREATOR_MODELS_2 }}", "${{ vars.CONTENT_CREATOR_MODELS_3 }}", "${{ vars.CONTENT_CREATOR_MODELS_4 }}"]'
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echo "CONTENT_CREATOR_MODELS='$PURE'" >> .env
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echo "GIT_PROTOCOL='${{ vars.GIT_PROTOCOL }}'" >> .env
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echo "GIT_REMOTE='${{ vars.GIT_REMOTE }}'" >> .env
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echo "GIT_USER='${{ vars.GIT_USER }}'" >> .env
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echo "GIT_PASS='${{ secrets.GIT_PASS }}'" >> .env
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echo "N8N_SECRET='${{ secrets.N8N_SECRET }}'" >> .env
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echo "N8N_WEBHOOK_URL='${{ vars.N8N_WEBHOOK_URL }}'" >> .env
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echo "CHROMA_HOST='${{ vars.CHROMA_HOST }}'" >> .env
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echo "CHROMA_PORT='${{ vars.CHROMA_PORT }}'" >> .env
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- name: Create Blogs
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shell: bash
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run: |
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source .venv/bin/activate
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python src/main.py
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@ -5,3 +5,4 @@ PyGithub
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chromadb
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langchain-ollama
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PyJWT
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dotenv
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@ -11,6 +11,8 @@ 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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print("In Class")
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print(os.environ["CONTENT_CREATOR_MODELS"])
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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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@ -31,7 +33,7 @@ class OllamaGenerator:
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The title for the blog is {self.inner_title}.
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Do not output the title in the markdown.
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The basis for the content of the blog is:
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{self.content}
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<blog>{self.content}</blog>
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"""
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def split_into_chunks(self, text, chunk_size=100):
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@ -123,11 +125,12 @@ class OllamaGenerator:
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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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As this person produce the final version of this blog as a markdown document
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keeping in mind the context provided by the previous drafts.
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The title for the blog is {self.inner_title}.
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Do not output the title in the markdown. Avoid repeated sentences
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The basis for the content of the blog is:
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{self.content}
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<blog>{self.content}</blog>
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"""
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try:
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query_embed = self.ollama_client.embed(model=self.embed_model, input=prompt_system)['embeddings']
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@ -136,7 +139,9 @@ class OllamaGenerator:
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print("Showing pertinent info from drafts used in final edited edition")
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pertinent_draft_info = '\n\n'.join(collection.query(query_embeddings=query_embed, n_results=100)['documents'][0])
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#print(pertinent_draft_info)
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prompt_human = f"Generate the final document using this information from the drafts: {pertinent_draft_info} - Only output in markdown, do not wrap in markdown tags"
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prompt_human = f"""Generate the final, 3000 word, draft of the blog using this information from the drafts: <context>{pertinent_draft_info}</context>
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- Only output in markdown, do not wrap in markdown tags, Only provide the draft not a commentary on the drafts in the context
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"""
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print("Generating final document")
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messages = [("system", prompt_system), ("human", prompt_human),]
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self.response = self.llm.invoke(messages).text()
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10
src/main.py
10
src/main.py
@ -4,6 +4,9 @@ import repo_management.repo_manager as git_repo
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from notifications.n8n import N8NWebhookJwt
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import string,os
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from datetime import datetime
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from dotenv import load_dotenv
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load_dotenv()
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print(os.environ["CONTENT_CREATOR_MODELS"])
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tril = tn.TrilumNotes()
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@ -27,7 +30,7 @@ for note in tril_notes:
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ai_gen = omg.OllamaGenerator(os_friendly_title,
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tril_notes[note]['content'],
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tril_notes[note]['title'])
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blog_path = f"/blog_creator/generated_files/{os_friendly_title}.md"
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blog_path = f"generated_files/{os_friendly_title}.md"
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ai_gen.save_to_file(blog_path)
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@ -47,9 +50,10 @@ for note in tril_notes:
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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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Generate an informal 100 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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Don't address it or use names. ONLY OUTPUT THE RESPONSE.
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ONLY OUTPUT IN PLAINTEXT STRIP ALL MARKDOWN
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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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