docs: 📜 Small Updates in prep

2025-09-02 18:45:00 +01:00
parent 17f33dfdd8
commit f8816b1da6
4 changed files with 162 additions and 94 deletions
@@ -1,5 +1,9 @@

-Below is a “ready‑to‑hack” checklist that covers everything you’ll need to set up before the hack day starts.  It’s broken into three phases – **pre‑planning**, **environment & tooling**, and **project‑specific prep** – so you can tackle each in order.
+Below is a “ready‑to‑hack” checklist that covers everything you’ll need to set up before the hack day starts.
+It’s broken into three phases
+* **pre‑planning**
+* **environment & tooling**
+* **project‑specific prep**

 ---

@@ -7,8 +11,8 @@ Below is a “ready‑to‑hack” checklist that covers everything you’ll nee

 | Item | Why it matters | How to decide |
 |------|----------------|---------------|
-| **Problem statement + success metric** | Keeps the hack focused; avoids “we’ll just keep adding features” trap. | Write a one‑sentence goal and a concrete KPI (e.g., 80 % of user intents correctly handled). |
-| **Scope & MVP** | Defines what you can finish in 24–48 h. | List core features, then prune until only 3–5 “must‑have” items remain. |
+| **Problem statement + success metric** | Keeps the hack focused; avoids “we’ll just keep adding features” trap. | Write a one‑sentence goal and a concrete KPI (e.g., 80 % of user intents correctly handled). |
+| **Scope & MVP** | Defines what you can finish in 24–48 h. | List core features, then prune until only 3–5 “must‑have” items remain. |
 | **User stories / personas** | Helps surface edge cases early. | Draft 2–3 short scenarios (e.g., “As a student, I want the agent to schedule a meeting”). |
 | **Success criteria & demo plan** | Gives you a clear finish line and a demo script. | Write bullet points for each feature that can be shown in the final demo. |
 | **Team roles** | Prevents overlap and gaps (e.g., one person on NLP, another on UI). | Assign: Lead dev, AI/ML engineer, frontend/UI, documentation & testing. |
@@ -17,48 +21,29 @@ Below is a “ready‑to‑hack” checklist that covers everything you’ll nee

 ## 2️⃣ Environment & Tooling

-### a) Code Repository
- **Git + GitHub/GitLab/Bitbucket** – set up the repo now; use a `main` branch and an `dev` branch.
- Add a **`.gitignore`** for Python (or use the template).
- Create a simple README with project name, goal, and how to run.
+### UV To handle virtual environment, package and dependancy handling.
+> uv add {package name}

-### b) Virtual Environment
-```bash
-python -m venv .venv
-source .venv/bin/activate  # Linux/macOS
-.venv\Scripts\activate     # Windows
-```
-
-### c) Dependency Management
- **`requirements.txt`** or **`pyproject.toml`** (Poetry / Pip‑env).
- Pin major packages (e.g., `langchain==0.1.*`, `openai==0.*`).
-
-### d) Language Model & API Keys
+### Language Model
 | Service | What you need | Notes |
 |---------|---------------|-------|
-| OpenAI GPT‑4o or GPT‑4 Turbo | API key, set in env var (`OPENAI_API_KEY`) | Make sure quota is enough; consider a free tier for quick tests. |
-| Anthropic Claude | `ANTHROPIC_API_KEY` | Good for “multimodal” prompts if you need images. |
-| Hugging Face models (optional) | Token for private repos | For local inference if you want to avoid API calls. |
+| local running LLMs | lmstudio | Keeping things local (for LLMs) is one of the Goals. |

-Store keys in a **`.env.example`** file and load them with `python-dotenv`.

-### e) Agent Framework
- **LangChain/Agentic** or **OpenAI’s new `ChatCompletion` agents**.
-  - Install: `pip install langchain openai python-dotenv`
- If you want modularity, consider the **MCP (Modular Conversational Protocol)** library if it exists; otherwise use a custom message‑passing protocol.
+### Agent Framework
+TBC, need to plan this
+Think about agent LLMs and tool callers

-### f) Development Tools
+### Development Tools
 | Tool | Purpose |
 |------|---------|
-| VS Code / PyCharm | IDE with Python support. |
-| `black`, `ruff` | Auto‑formatting & linting. |
-| `pytest` or `unittest` | Quick unit tests for critical functions. |
-| Docker (optional) | Snapshot environment for later deployment. |
+| VSCode / Zed | IDE with Python support. |
+| ruff | Auto‑formatting & linting. |
+| pytest | Quick unit tests for critical functions. |

-### g) Data / Knowledge Base
+### Data / Knowledge Base
 - **Static docs**: Markdown/HTML files you want the agent to read.
 - **Vector store**: Use FAISS, Pinecone, or Chroma for embeddings if you’ll do RAG.
-  - Pre‑compute embeddings before hack day (script in repo).
 - **Sample user intents**: Create a JSON file with example queries.

 ---
@@ -96,7 +81,6 @@ Store keys in a **`.env.example`** file and load them with `python-dotenv`.
 - Run tests nightly in a CI (GitHub Actions) if time permits.

 ### 5. Security & Rate‑Limiting
- Add simple `sleep(1)` between API calls to avoid hitting rate limits during the hack.
 - Sanitize user input before sending to LLM (avoid injection attacks).

 ---
@@ -105,14 +89,14 @@ Store keys in a **`.env.example`** file and load them with `python-dotenv`.

 | Time | Task |
 |------|------|
-| **0–30 min** | Finalise repo, install deps, load env vars. |
-| **30–60 min** | Build minimal UI (CLI or web). |
-| **1–2 h** | Implement core agent loop & prompt templates. |
-| **2–3 h** | Wire vector store / RAG if chosen. |
-| **3–4 h** | Write unit tests for the most critical parts. |
-| **4–5 h** | Run integration test, debug. |
-| **5–6 h** | Prepare demo script; record or capture demo. |
-| **6+ h** | Polish README, add usage instructions, commit final changes. |
+| **0–30 min** | Finalise repo, install deps, load env vars. |
+| **30–60 min** | Build minimal UI (CLI or web). |
+| **1–2 h** | Implement core agent loop & prompt templates. |
+| **2–3 h** | Wire vector store / RAG if chosen. |
+| **3–4 h** | Write unit tests for the most critical parts. |
+| **4–5 h** | Run integration test, debug. |
+| **5–6 h** | Prepare demo script; record or capture demo. |
+| **6+ h** | Polish README, add usage instructions, commit final changes. |

 ---

@@ -125,45 +109,6 @@ Store keys in a **`.env.example`** file and load them with `python-dotenv`.

 ---

-### Quick Starter Code Skeleton
-
-```python
-# main.py
-import os
-from dotenv import load_dotenv
-from fastapi import FastAPI, Request
-from langchain.chat_models import ChatOpenAI
-from langchain.prompts import PromptTemplate
-
-load_dotenv()
-
-app = FastAPI()
-llm = ChatOpenAI(api_key=os.getenv("OPENAI_API_KEY"))
-
-system_prompt = "You are a helpful assistant."
-prompt_template = PromptTemplate(
-    input_variables=["user_input"],
-    template="{system}\nUser: {user_input}\nAssistant:",
-)
-
-@app.post("/chat")
-async def chat(req: Request):
-    data = await req.json()
-    user_text = data.get("message", "")
-    prompt = prompt_template.format(system=system_prompt, user_input=user_text)
-    response = llm([prompt])
-    return {"response": response[0].content}
-```
-
-Run with:
-
-```bash
-uvicorn main:app --reload
-curl -X POST http://localhost:8000/chat -H "Content-Type: application/json" -d '{"message":"Hello"}'
-```
-
---
-
 ## 🎉 Final Tips

 - **Keep it simple** – you can always extend later.
@@ -1,12 +1,47 @@
-from rich import print, pretty
+from rich import print
+from rich.console import Console
+from rich.table import Table
 from rich.panel import Panel
+from rich.progress import Progress, SpinnerColumn, BarColumn, track
+from rich.markdown import Markdown
+from rich.syntax import Syntax
+from rich.live import Live
+from rich.prompt import Prompt

-def main():
-    print("Hello from devin!")
-    print("[italic red]Hello[/italic red] World!", locals())
-    print(["Rich and pretty", True])
-    print(Panel.fit("[bold yellow]Hi, I'm a Panel", border_style="red"))
+import random
+import time

+console = Console()

-if __name__ == "__main__":
-    main()
+def ask_name() -> str:
+    """Ask for a name and keep asking until it's not empty."""
+    while True:
+        name = Prompt.ask("[bold cyan]What is your name?[/]")
+        if name.strip():
+            return name.strip()
+        console.print("[red]Name cannot be empty![/]", style="bold")
+
+def ask_age() -> int:
+    """Ask for age and validate it's a positive integer."""
+    while True:
+        age_str = Prompt.ask("[bold cyan]How old are you?[/]")
+        try:
+            age = int(age_str)
+            if age <= 0:
+                raise ValueError
+            return age
+        except ValueError:
+            console.print("[red]Please enter a valid positive integer.[/]", style="bold")
+
+name = ask_name()
+age = ask_age()
+
+panel_narrow = Panel(
+    f"[bold green]Your Name is: {name}[/bold green]\n"
+    f"[blue]And you are {age} Years Old.[/blue]",
+    title="About You",
+    subtitle="The info you gave",
+    expand=False,
+)
+
+console.print(panel_narrow)
@@ -4,4 +4,8 @@ version = "0.1.0"
 description = "Devin is your very own AI command centre"
 readme = "README.md"
 requires-python = ">=3.13"
-dependencies = ["rich>=14.1.0"]
+dependencies = [
+    "pytest>=8.4.1",
+    "rich>=14.1.0",
+    "ruff>=0.12.11",
+]
@@ -2,16 +2,40 @@ version = 1
 revision = 3
 requires-python = ">=3.13"

+[[package]]
+name = "colorama"
+version = "0.4.6"
+source = { registry = "https://pypi.org/simple" }
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+]
+
 [[package]]
 name = "devin"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
+    { name = "pytest" },
    { name = "rich" },
+    { name = "ruff" },
 ]

 [package.metadata]
-requires-dist = [{ name = "rich", specifier = ">=14.1.0" }]
+requires-dist = [
+    { name = "pytest", specifier = ">=8.4.1" },
+    { name = "rich", specifier = ">=14.1.0" },
+    { name = "ruff", specifier = ">=0.12.11" },
+]
+
+[[package]]
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 [[package]]
 name = "markdown-it-py"
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@@ -43,6 +85,22 @@ wheels = [
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+[[package]]
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+version = "8.4.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "iniconfig" },
+    { name = "packaging" },
+    { name = "pluggy" },
+    { name = "pygments" },
+]
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