update examples/semiconductor

.gitignore

@@ -39,6 +39,9 @@ docs/_build/
 # DATA & EXAMPLE FILES
 # ====================
 examples/**/*.json
+!examples/**/package.json
+!examples/**/package-lock.json
+
 .openssa/
 test*.ipynb
 tmp/

examples/semiconductor/agent.py

@@ -6,7 +6,7 @@
 from openssa import Agent, ProgramSpace, HTP, HTPlanner, OpenAILM
 
 # pylint: disable=wrong-import-order
-from data_and_knowledge import EXPERT_PROGRAM_SPACE
+from data_and_knowledge import EXPERT_PROGRAM_SPACE, EXPERT_KNOWLEDGE
 from semikong_lm import SemiKongLM
 
 
@@ -22,7 +22,7 @@ def get_or_create_agent(use_semikong_lm: bool = True, max_depth=2, max_subtasks_
 
     return Agent(program_space=program_space,
                  programmer=HTPlanner(lm=lm, max_depth=max_depth, max_subtasks_per_decomp=max_subtasks_per_decomp),
-                 knowledge={},
+                 knowledge={EXPERT_KNOWLEDGE} if EXPERT_KNOWLEDGE else None,
                  resources={})
 
 

examples/semiconductor/data_and_knowledge.py

@@ -13,6 +13,17 @@
 load_dotenv()
 
 
+EXPERT_KNOWLEDGE_FILE_PATH: Path = Path(__file__).parent / 'expert-knowledge.txt'
+with open(file=EXPERT_KNOWLEDGE_FILE_PATH,
+          buffering=-1,
+          encoding='utf-8',
+          errors='strict',
+          newline=None,
+          closefd=True,
+          opener=None) as f:
+    EXPERT_KNOWLEDGE: str = f.read()
+
+
 EXPERT_PROGRAM_SPACE_FILE_PATH: Path = Path(__file__).parent / 'expert-program-space.yml'
 with open(file=EXPERT_PROGRAM_SPACE_FILE_PATH,
           buffering=-1,

examples/semiconductor/expert-knowledge.txt

@@ -0,0 +1,62 @@
+Etching Silicon Dioxide (SiO2): typical recipe(s)
+=================================================
+
+If using Inductively Coupled Plasma (ICP) Reactive Ion Etching (RIE)
+--------------------------------------------------------------------
+
+
+GASES & FLOW RATES:
+
+Common gas is CHF3, often mixed with small amount of Ar and/or O2:
+- CHF3 provides fluorine for etching while also polymerising to provide sidewall protection, improving anisotropy
+- Ar helps maintain stable plasma
+- O2 enhances volatility of etch products
+
+Typical starting point:
+- 20-50 sccm of CHF3
+- 5-10 sccm of Ar
+- 2-5 sccm of O2
+
+
+ICP POWER:
+
+Higher ICP power (e.g., 500-1000W) increases plasma density and etch rate
+BUT may also lead to more physical damage and less anisotropic profiles
+
+
+RF POWER:
+
+Lower RF power (e.g., 10-50W) provides more anisotropic profiles
+
+
+PRESSURE:
+
+Lower pressure (e.g., 5-20 mTorr) helps improve anisotropy
+
+
+ETCH TIME:
+
+You need to adjust etch time depending on desired depth and etch rate.
+
+Remember that etch rate can vary across wafer and over time, so it's best to overestimate time and measure depth periodically.
+
+
+END-POINT DETECTION:
+
+Many RIE systems have optical emission spectroscopy (OES) or interferometry for end-point detection.
+These can stop etching process when desired depth is reached.
+
+
+OPTIMIZATION CONSIDERATIONS:
+
+- Etch rate
+- Selectivity to mask and underlying layers
+- Etch profile (anisotropy)
+- Uniformity
+- Physical or chemical damage
+
+
+SAFETY PROCEDURES:
+
+- Always follow safety procedures when working with plasma etching systems and handling gases
+- Confirm with facility and equipment manager that your planned recipe is compatible and won't cause any damage or contamination

examples/semiconductor/expert-program-space.yml

@@ -0,0 +1,17 @@
+plan:
+  task: |-
+    For etching PECVD SiO2 using Inductively Coupled Plasma (ICP) Reactive Ion Etching (RIE),
+    recommend 2 good parameter sets and their relative advantages/disadvantages
+
+  sub-htps:
+    - task: |-
+        Get typical gases used for such process and their flow rate ranges
+        in SiO2 etching using Inductively Coupled Plasma (ICP) Reactive Ion Etching (RIE)
+
+    - task: |-    
+        Get typical ICP Power, RF Power and Pressure value ranges and associated trade-offs
+        in SiO2 etching using Inductively Coupled Plasma (ICP) Reactive Ion Etching (RIE)
+
+    - task: |-
+        Recommend 2 parameter sets (each including Flow Rate for each Gas, plus ICP Power, RF Power and Pressure)
+        with analysis of their relative pros and cons.

examples/semiconductor/semiconductor-ui/api/Dockerfile

@@ -0,0 +1,39 @@
+FROM --platform=linux/amd64 python:3.10-slim AS base
+
+# Install Poetry
+RUN apt update -y && apt install poppler-utils -y
+RUN python -m pip install --upgrade pip && \
+    pip install --no-cache-dir poetry==1.3.2
+
+
+RUN poetry config virtualenvs.in-project true && \
+    poetry config installer.max-workers 10
+
+WORKDIR /api
+
+COPY pyproject.toml /api/
+
+# =======================================
+# Build image
+FROM base AS build
+
+RUN poetry install
+
+
+# =======================================
+# App image
+FROM base AS app
+
+COPY --from=build /api/.venv /api/.venv
+
+ENV PATH="/api/.venv/bin:$PATH"
+ENV PATH="/api:$PATH"
+# ENV PATH="/api/openssa:$PATH"
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONPATH="/"
+
+COPY . /api/
+
+EXPOSE 8080
+
+CMD ["sh", "start.sh"]

examples/semiconductor/semiconductor-ui/api/main.py

@@ -0,0 +1,86 @@
+import os
+from fastapi import FastAPI, Request
+from fastapi.middleware.cors import CORSMiddleware
+from collections import defaultdict
+import openai
+
+app = FastAPI()
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=[os.environ.get("FRONTEND_URL", "http://localhost:4000")],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+client = openai.OpenAI(api_key=os.environ['OPENAI_API_KEY'])
+
+def call_gpt(prompt):
+    response = client.chat.completions.create(
+        model="gpt-4o",
+        messages=[
+            {"role": "system", "content": "You are an expert in parsing text into a specific format. Please help me with this task."},
+            {"role": "user", "content": prompt}
+        ]
+    )
+    return response.choices[0].message.content
+
+def parse_recipe_text(text):
+    parsed_data = {"recipe_1": "", "recipe_2": "", "agent_advice": ""}
+    lines = text.split("\n")
+    current_section = None
+
+    for line in lines:
+        if "recipe_1:" in line:
+            current_section = "recipe_1"
+        elif "recipe_2:" in line:
+            current_section = "recipe_2"
+        elif "agent_advice:" in line:
+            current_section = "agent_advice"
+        elif current_section:
+            parsed_data[current_section] += line + "\n"
+
+    parsed_data = {key: value.strip() for key, value in parsed_data.items()}
+    return parsed_data
+
+def solve_semiconductor_question(question):
+    solutions = defaultdict(str)
+
+    solutions[question] = get_or_create_agent(use_semikong_lm=True).solve(problem=question)
+
+    solution = solutions[question]
+    solution = solution.replace('$', r'\$')
+
+    prompt = f"""{solution} \n\n Please help me parse the above text into this format:\n
+         recipe_1: Show the recipe 1 here\n 
+         recipe_2: Show the recipe 2 here\n
+         agent_advice: Show the agent's general considerations here\n
+         DO NOT forget the key and DO NOT change the key format.
+    """
+    solution = call_gpt(prompt)
+    parsed_solution = parse_recipe_text(solution)
+    return parsed_solution
+
+@app.get("/")
+async def root():
+    return {"message": "Hello World"}
+
+@app.get("/data")
+async def get_data():
+    return {"data": "data"}
+
+@app.post("/data")
+async def post_data(request: Request):
+    data = await request.json()
+    question = data.get('question')
+    if not question:
+        return {"error": "No question provided"}, 400
+
+    try:
+        parsed_answer = solve_semiconductor_question(question)
+        return parsed_answer
+    except Exception as e:
+        logger.error(f"Error solving the question: {e}")
+        return {"error": str(e)}, 500
+

examples/semiconductor/semiconductor-ui/api/pyproject.toml

@@ -0,0 +1,17 @@
+[tool.poetry]
+name = "api"
+version = "0.1.0"
+description = ""
+authors = ["Hung Vo <[email protected]>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.10"
+uvicorn = "^0.30.5"
+fastapi = "^0.112.0"
+openai = "^1.40.1"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

examples/semiconductor/semiconductor-ui/api/start.sh

@@ -0,0 +1 @@
+uvicorn main:app --loop "asyncio" --proxy-headers --host 0.0.0.0 --port 8080

examples/semiconductor/semiconductor-ui/css/style.css

@@ -0,0 +1,4 @@
+.step-item::after {
+    content: '';
+    border: 1px solid #e0e0e0;
+}

examples/semiconductor/semiconductor-ui/docker-compose.yml

@@ -0,0 +1,31 @@
+version: "3.9"
+
+services:
+  apis:
+    container_name: apis
+    restart: always
+    platform: linux/amd64
+    env_file: .env
+    build:
+      context: ./api
+      dockerfile: ./Dockerfile
+    command: sh start.sh
+
+    ports:
+      - 9000:8080
+
+  ui:
+    container_name: semiconductor-ui
+    restart: always
+    build:
+      context: ./ui
+      target: development
+      dockerfile: ./Dockerfile
+    environment:
+      - VITE_API_HOST=http://localhost:9000
+    volumes:
+      - ./ui/src:/app/src
+      - ./ui/public:/app/public
+      - "./ui/tailwind.config.js:/app/tailwind.config.js"
+    ports:
+      - 4000:5173