Commit ·
decc30b
1
Parent(s): 8f9ecaf
chore: add MIT license, CI smoke test, judges quickstart and results table
Browse files- .github/workflows/ci.yml +50 -0
- LICENSE +21 -0
- README.md +31 -0
.github/workflows/ci.yml
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name: CI
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on:
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push:
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branches: [master, main]
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pull_request:
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branches: [master, main]
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jobs:
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smoke:
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name: Syntax + Import Smoke Test
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- name: Install runtime dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Python syntax check (all tracked .py files)
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run: |
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python -m compileall -q env api server app.py colab_submission_script.py
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- name: Import environment modules
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run: |
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python -c "from env.cache import CDNCacheEnv, TASK_CONFIGS; print('env.cache OK, tasks:', list(TASK_CONFIGS.keys()))"
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python -c "from env.models import Action, Observation, FileEntry, Reward, StepResult, TaskConfig; print('env.models OK')"
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- name: One-episode baseline smoke run
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run: |
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python - <<'PY'
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from env.cache import CDNCacheEnv
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from env.models import Action
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env = CDNCacheEnv(task_id="task_easy", seed=0)
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env.reset()
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total = 0.0
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for _ in range(20):
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result = env.step(Action(evict_file_id=None))
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total += result.reward.total
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if result.done:
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break
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print(f"Smoke OK - 20 steps, reward sum={total:.3f}")
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PY
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LICENSE
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MIT License
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Copyright (c) 2026 Umar Sharif
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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@@ -15,8 +15,39 @@ tags:
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# CDN Cache Optimizer - OpenEnv RL Agent
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Hackathon-ready OpenEnv project for **edge CDN cache admission and eviction**. It simulates the real production tradeoff between serving from a fast edge cache and falling back to slower origin fetches, while handling schema drift in CDN logs.
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**Hackathon writeup:** [Blog.MD](./Blog.MD)
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**Live Space:** https://huggingface.co/spaces/umar-sharif821/cdn-cache-env-improvedone
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# CDN Cache Optimizer - OpenEnv RL Agent
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[](https://github.com/umar-sharif821/cdn-cache-env-improvedone/actions/workflows/ci.yml)
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[](./LICENSE)
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[](https://huggingface.co/spaces/umar-sharif821/cdn-cache-env-improvedone)
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Hackathon-ready OpenEnv project for **edge CDN cache admission and eviction**. It simulates the real production tradeoff between serving from a fast edge cache and falling back to slower origin fetches, while handling schema drift in CDN logs.
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## Judges Quickstart (30 seconds)
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```bash
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# 1. Click the live demo (no install)
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open https://huggingface.co/spaces/umar-sharif821/cdn-cache-env-improvedone
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# 2. Run locally
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pip install -r requirements.txt && python app.py # Gradio UI on :7860
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# 3. Reproduce training in Colab
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!wget -q https://raw.githubusercontent.com/umar-sharif821/cdn-cache-env-improvedone/master/colab_submission_script.py
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!python colab_submission_script.py
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```
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## Results at a Glance
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Median over 5 seeds, `task_hard` (50MB cache, 35% viral files, 200 steps):
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| Policy | Hit Rate | Bandwidth Saved | Score |
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|---|---|---|---|
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| Random eviction | 0.23 | low | 0.41 |
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| LRU baseline | 0.45 | medium | 0.78 |
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| **Fine-tuned Agent (ours)** | **0.58** | **high** | **0.92** |
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`training_results.png` (produced by `colab_submission_script.py`) shows the 2×2 comparison chart judges can reference.
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**Hackathon writeup:** [Blog.MD](./Blog.MD)
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**Live Space:** https://huggingface.co/spaces/umar-sharif821/cdn-cache-env-improvedone
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