Add Target mirror + task verifiers (site rebuilt from real target.com data)

.assets-revision

@@ -5,4 +5,4 @@
 # is a git revision (branch name like `main`, a tag, or a specific commit
 # sha). Override at runtime with the ASSETS_REVISION env var.
 repo: ChilleD/WebHarbor
-revision: ebf73305228b7ba86d9fbcb737b8ccbee2b8956a
+revision: 8d8e4069588ef55594622fee1ab9fa51c2011d07

AGENTS.md

@@ -4,7 +4,7 @@ A coding agent (Claude Code, Cursor, Aider, Codex, ...) is reading this. Read on
 
 ## What it is
 
-18 Flask mirror websites (Amazon, GitHub, BBC News, ...) packaged into one Docker image, plus a control plane on `:8101` for resetting per-site state. Used as a deterministic offline environment for web-agent benchmarks. ~3 GB image.
+19 Flask mirror websites (Amazon, GitHub, BBC News, ...) packaged into one Docker image, plus a control plane on `:8101` for resetting per-site state. Used as a deterministic offline environment for web-agent benchmarks. ~3 GB image.
 
 Two repos:
 - **code** (this one) — Flask apps, control plane, scripts.
@@ -48,17 +48,17 @@ Inside the image, sites live at `/opt/WebSyn/<site>/`. The path predates the ren
 # fresh clone
 ./scripts/fetch_assets.sh                     # pulls assets from HF
 ./scripts/build.sh                            # docker build -t webharbor:dev .
-docker run -d -p 8101:8101 -p 40000-40017:40000-40017 webharbor:dev
+docker run -d -p 8101:8101 -p 40000-40018:40000-40018 webharbor:dev
 ```
 
 Or use the published image directly:
 
 ```bash
-docker run -d -p 8101:8101 -p 40000-40017:40000-40017 \
+docker run -d -p 8101:8101 -p 40000-40018:40000-40018 \
   battalion7244/webharbor:latest
 ```
 
-Sites are on `40000`-`40017` in the order declared by `SITES=( ... )` in `websyn_start.sh`. Control plane:
+Sites are on `40000`-`40018` in the order declared by `SITES=( ... )` in `websyn_start.sh`. Control plane:
 
 | Method | Path                | Purpose                                   |
 |--------|---------------------|-------------------------------------------|
@@ -136,13 +136,13 @@ python3 -m py_compile sites/<site>/app.py
 
 # 3. run on alt ports (don't collide with anything you already have running)
 docker run -d --rm --name wh-test \
-  -p 8201:8101 -p 41000-41017:40000-40017 webharbor:dev
+  -p 8201:8101 -p 41000-41018:40000-40018 webharbor:dev
 
 # 4. control plane healthy, all sites alive
 curl -s http://localhost:8201/health | python3 -m json.tool | head
 
 # 5. every site renders 200
-for p in $(seq 41000 41017); do
+for p in $(seq 41000 41018); do
   curl -so /dev/null -w "$p:%{http_code}\n" http://localhost:$p/
 done
 

CLAUDE.md

@@ -16,4 +16,4 @@ The full agent guide is loaded above via `@AGENTS.md`. The notes below apply onl
 
 ## Existing containers
 
-If a container is already running on `:8101` / `:40000-40017`, treat it as the user's working environment — don't `docker stop` or `docker rm` it without explicit confirmation. Spin up your test container under a different name on alt ports (`:8201`, `:41000-41017`).
+If a container is already running on `:8101` / `:40000-40018`, treat it as the user's working environment — don't `docker stop` or `docker rm` it without explicit confirmation. Spin up your test container under a different name on alt ports (`:8201`, `:41000-41018`).

CONTRIBUTING.md

@@ -24,7 +24,7 @@ git clone https://github.com/<you>/webharbor && cd webharbor
 ./scripts/fetch_assets.sh                       # pull current assets
 ./scripts/new_site.py mywebsite                 # OR edit an existing site
 ./scripts/build.sh && docker run -d --rm \
-  -p 8101:8101 -p 40000-40017:40000-40017 webharbor:dev
+  -p 8101:8101 -p 40000-40018:40000-40018 webharbor:dev
 # iterate locally...
 
 ./scripts/extract_assets.sh ../webharbor-static-pr/   # split assets out

Dockerfile

@@ -1,5 +1,5 @@
 # WebHarbor — slim, self-contained image.
-# 18 Flask mirror sites + control plane on :8101.
+# 19 Flask mirror sites + control plane on :8101.
 
 FROM python:3.12-slim-bookworm
 
@@ -31,14 +31,15 @@ COPY sites/ /opt/WebSyn/
 # IKEA's seed is reproducibly materialized from the tracked source catalog so code-only content fixes do not require an asset-repository write. Product images still come from the pinned asset bundle.
 RUN cd /opt/WebSyn/ikea && PYTHONHASHSEED=0 python seed_data.py && rm -rf instance
 
-# Apply tracked, idempotent Phys.org data corrections to the pinned seed asset.
+# Apply tracked, idempotent Phys.org and Target data corrections to their seed assets.
 RUN cd /opt/WebSyn/phys_org && PYTHONHASHSEED=0 python migrate_seed.py && rm -rf instance
+RUN cd /opt/WebSyn/target && PYTHONHASHSEED=0 python migrate_seed.py && rm -rf instance
 
 COPY websyn_start.sh    /opt/websyn_start.sh
 COPY control_server.py  /opt/control_server.py
 COPY site_runner.py     /opt/site_runner.py
 RUN chmod +x /opt/websyn_start.sh
 
-EXPOSE 8101 40000-40017
+EXPOSE 8101 40000-40018
 
 CMD ["/opt/websyn_start.sh"]

README.md

@@ -36,17 +36,17 @@ WebHarbor takes a different approach. We leverage coding agent (e.g., Claude Cod
 - **Deep features unlocked** — carts, checkouts, accounts, all fully testable
 - **Evolving** — harder tasks drive richer mirrors; the environment grows with agents
 - **RL-ready** — sub-second database resets between rollouts
-- **Community-driven** — 18 sites today, scaling to 100+ together
+- **Community-driven** — 19 sites today, scaling to 100+ together
 
 ## 🚀 Quickstart
 
 One command to run all web environments:
 
 ```bash
-docker run -p 8101:8101 -p 40000-40017:40000-40017 battalion7244/webharbor:latest
+docker run -p 8101:8101 -p 40000-40018:40000-40018 battalion7244/webharbor:latest
 ```
 
-Then point your agent at `http://localhost:40000` through `http://localhost:40017` to explore 18 local mirrors of webvoyager sites: `Allrecipes, Amazon, Apple, ArXiv, BBC News, Booking, GitHub, Google Flights, Google Maps, Google Search, Hugging Face, Wolfram Alpha, Cambridge Dictionary, Coursera, ESPN, Merriam-Webster, IKEA, and Phys.org`.
+Then point your agent at `http://localhost:40000` through `http://localhost:40018` to explore 19 local mirrors of webvoyager sites: `Allrecipes, Amazon, Apple, ArXiv, BBC News, Booking, GitHub, Google Flights, Google Maps, Google Search, Hugging Face, Wolfram Alpha, Cambridge Dictionary, Coursera, ESPN, Merriam-Webster, IKEA, Phys.org, and Target`.
 
 For sub-second reset between rollouts, expose the control plane and call `/reset/<site>`:
 

agent_demo/README.md

@@ -19,7 +19,7 @@ export OPENAI_BASE_URL=https://api.openai.com/v1   # or your Azure / vLLM endpoi
 
 ## Run a task
 
-WebHarbor must already be running locally (`docker run -p 8101:8101 -p 40000-40017:40000-40017 battalion7244/webharbor:latest`).
+WebHarbor must already be running locally (`docker run -p 8101:8101 -p 40000-40018:40000-40018 battalion7244/webharbor:latest`).
 
 Run a single task from a site's `tasks.jsonl`:
 

control_server.py

@@ -26,7 +26,7 @@
     'allrecipes', 'amazon', 'apple', 'arxiv', 'bbc_news', 'booking',
     'github', 'google_flights', 'google_map', 'google_search',
     'huggingface', 'wolfram_alpha', 'cambridge_dictionary',
-    'coursera', 'espn', 'merriam_webster', 'ikea', 'phys_org',
+    'coursera', 'espn', 'merriam_webster', 'ikea', 'phys_org', 'target',
 ]
 BASE_PORT = 40000
 WEBSYN_DIR = '/opt/WebSyn'

scripts/fetch_assets.sh

@@ -48,9 +48,9 @@ for tarball in "$CACHE_DIR"/*.tar.gz; do
     if [[ -n "$ONLY_SITE" && "$site" != "$ONLY_SITE" ]]; then continue; fi
     echo "[fetch] extracting $site"
     if tar --version 2>/dev/null | grep -q 'GNU tar'; then
-        tar --warning=no-unknown-keyword -xzf "$tarball" -C sites/
+        tar --warning=no-unknown-keyword --exclude='._*' -xzf "$tarball" -C sites/
     else
-        tar -xzf "$tarball" -C sites/
+        COPYFILE_DISABLE=1 tar --exclude='._*' -xzf "$tarball" -C sites/
     fi
     migrator="sites/$site/migrate_seed.py"
     database="sites/$site/instance_seed/$site.db"

sites/target/_health.py

@@ -0,0 +1,14 @@
+"""Per-site health probe for the Target mirror."""
+
+from app import Product, Store, app
+
+
+def health():
+    with app.app_context():
+        return {
+            "ok": True,
+            "site": "target",
+            "products": Product.query.count(),
+            "stores": Store.query.count(),
+        }
+