feat: implements modal wrapper + dockerfile for modal containers

Dockerfile_modal

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+FROM python:3.11-slim
+
+# Set environment variables
+ENV PIP_NO_CACHE_DIR=true
+ENV PATH="${PATH}:/root/.poetry/bin"
+ENV PYTHONPATH=/app
+ENV RUN_MODE=modal
+ENV SKIP_MIGRATIONS=true
+
+# System dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    libpq-dev \
+    git \
+    curl \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+
+ENV PYTHONPATH=/app
+WORKDIR /app
+COPY pyproject.toml poetry.lock /app/
+
+
+RUN pip install poetry
+
+RUN poetry install --all-extras --no-root --without dev
+
+COPY cognee/ /app/cognee
+COPY README.md /app/README.md

modal_wrapper.py

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+import modal
+import os
+import logging
+import asyncio
+import cognee
+import sentry_sdk
+import concurrent.futures
+import signal
+
+from cognee.api.v1.search import SearchType
+from cognee.shared.utils import setup_logging
+
+app = modal.App("cognee-runner")
+
+image = (
+    modal.Image.from_dockerfile(path="Dockerfile_modal", force_build=False)
+    .copy_local_file("pyproject.toml", "pyproject.toml")
+    .copy_local_file("poetry.lock", "poetry.lock")
+    .env({"ENV": os.getenv("ENV"), "LLM_API_KEY": os.getenv("LLM_API_KEY")})
+    .poetry_install_from_file(poetry_pyproject_toml="pyproject.toml")
+    .pip_install("protobuf", "h2")
+)
+
+
+@app.function(image=image, concurrency_limit=5)
+async def entry(text: str, query: str):
+    try:
+        setup_logging(logging.ERROR)
+        sentry_sdk.init(dsn=None)
+        await cognee.prune.prune_data()
+        await cognee.prune.prune_system(metadata=True)
+        await cognee.add(text)
+        await cognee.cognify()
+        search_results = await cognee.search(SearchType.GRAPH_COMPLETION, query_text=query)
+
+        return {
+            "text": text,
+            "query": query,
+            "answer": search_results[0] if search_results else None,
+        }
+    finally:
+        await asyncio.sleep(1)
+
+
+@app.local_entrypoint()
+async def main():
+    text_queries = [
+        {
+            "text": "The Mars 2023 mission discovered 4.3% water content in soil samples from Jezero Crater.",
+            "query": "What percentage of water was found in Jezero Crater's soil based on the provided context?",
+        },
+        {
+            "text": "Bluefin tuna populations decreased by 72% in the Mediterranean between 2010-2022 according to WWF.",
+            "query": "What percentage of water was found in Jezero Crater's soil based on the provided context?",
+        },
+        {
+            "text": "Tesla's Q2 2024 report shows 412,000 Model Y vehicles produced with new 4680 battery cells.",
+            "query": "How many Model Y cars used the 4680 batteries in Q2 2024?",
+        },
+        {
+            "text": "A 2023 Johns Hopkins study found 23-minute daily naps improve cognitive performance by 18% in adults.",
+            "query": "What duration of daily naps boosts cognition according to the 2023 study?",
+        },
+    ]
+
+    tasks = [entry.remote.aio(item["text"], item["query"]) for item in text_queries]
+
+    results = await asyncio.gather(*tasks)
+
+    print("\nFinal Results:")
+
+    for result in results:
+        print(result)
+        print("----")
+
+    os.kill(os.getpid(), signal.SIGKILL)
+
+    return 0