Update app.py

app.py

@@ -1,162 +1,84 @@
-import faicons as fa
-import plotly.express as px
-
-# Load data and compute static values
-from shared import app_dir, tips
-from shinywidgets import render_plotly
-
-from shiny import reactive, render
-from shiny.express import input, ui
-
-bill_rng = (min(tips.total_bill), max(tips.total_bill))
-
-# Add page title and sidebar
-ui.page_opts(title="Restaurant tipping", fillable=True)
-
-with ui.sidebar(open="desktop"):
-    ui.input_slider(
-        "total_bill",
-        "Bill amount",
-        min=bill_rng[0],
-        max=bill_rng[1],
-        value=bill_rng,
-        pre="$",
-    )
-    ui.input_checkbox_group(
-        "time",
-        "Food service",
-        ["Lunch", "Dinner"],
-        selected=["Lunch", "Dinner"],
-        inline=True,
-    )
-    ui.input_action_button("reset", "Reset filter")
-
-# Add main content
-ICONS = {
-    "user": fa.icon_svg("user", "regular"),
-    "wallet": fa.icon_svg("wallet"),
-    "currency-dollar": fa.icon_svg("dollar-sign"),
-    "ellipsis": fa.icon_svg("ellipsis"),
-}
-
-with ui.layout_columns(fill=False):
-    with ui.value_box(showcase=ICONS["user"]):
-        "Total tippers"
-
-        @render.express
-        def total_tippers():
-            tips_data().shape[0]
-
-    with ui.value_box(showcase=ICONS["wallet"]):
-        "Average tip"
-
-        @render.express
-        def average_tip():
-            d = tips_data()
-            if d.shape[0] > 0:
-                perc = d.tip / d.total_bill
-                f"{perc.mean():.1%}"
-
-    with ui.value_box(showcase=ICONS["currency-dollar"]):
-        "Average bill"
-
-        @render.express
-        def average_bill():
-            d = tips_data()
-            if d.shape[0] > 0:
-                bill = d.total_bill.mean()
-                f"${bill:.2f}"
-
-
-with ui.layout_columns(col_widths=[6, 6, 12]):
-    with ui.card(full_screen=True):
-        ui.card_header("Tips data")
-
-        @render.data_frame
-        def table():
-            return render.DataGrid(tips_data())
-
-    with ui.card(full_screen=True):
-        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
-            "Total bill vs tip"
-            with ui.popover(title="Add a color variable", placement="top"):
-                ICONS["ellipsis"]
-                ui.input_radio_buttons(
-                    "scatter_color",
-                    None,
-                    ["none", "sex", "smoker", "day", "time"],
-                    inline=True,
-                )
-
-        @render_plotly
-        def scatterplot():
-            color = input.scatter_color()
-            return px.scatter(
-                tips_data(),
-                x="total_bill",
-                y="tip",
-                color=None if color == "none" else color,
-                trendline="lowess",
-            )
-
-    with ui.card(full_screen=True):
-        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
-            "Tip percentages"
-            with ui.popover(title="Add a color variable"):
-                ICONS["ellipsis"]
-                ui.input_radio_buttons(
-                    "tip_perc_y",
-                    "Split by:",
-                    ["sex", "smoker", "day", "time"],
-                    selected="day",
-                    inline=True,
-                )
-
-        @render_plotly
-        def tip_perc():
-            from ridgeplot import ridgeplot
-
-            dat = tips_data()
-            dat["percent"] = dat.tip / dat.total_bill
-            yvar = input.tip_perc_y()
-            uvals = dat[yvar].unique()
-
-            samples = [[dat.percent[dat[yvar] == val]] for val in uvals]
-
-            plt = ridgeplot(
-                samples=samples,
-                labels=uvals,
-                bandwidth=0.01,
-                colorscale="viridis",
-                colormode="row-index",
-            )
-
-            plt.update_layout(
-                legend=dict(
-                    orientation="h", yanchor="bottom", y=1.02, xanchor="center", x=0.5
-                )
-            )
-
-            return plt
-
-
-ui.include_css(app_dir / "styles.css")
-
-# --------------------------------------------------------
-# Reactive calculations and effects
-# --------------------------------------------------------
-
-
-@reactive.calc
-def tips_data():
-    bill = input.total_bill()
-    idx1 = tips.total_bill.between(bill[0], bill[1])
-    idx2 = tips.time.isin(input.time())
-    return tips[idx1 & idx2]
-
-
-@reactive.effect
-@reactive.event(input.reset)
-def _():
-    ui.update_slider("total_bill", value=bill_rng)
-    ui.update_checkbox_group("time", selected=["Lunch", "Dinner"])
+import os, logging, requests
+from typing import List, Dict, Any
+from fastapi import FastAPI
+
+# Logging
+logging.basicConfig(level=logging.INFO, format="%(levelname)s %(message)s")
+log = logging.getLogger("replicate-catalog")
+
+# Secrets
+REPLICATE_API_TOKEN = os.getenv("REPLICATE_API_TOKEN") or os.getenv("REPLICATE_TOKEN")
+if not REPLICATE_API_TOKEN:
+    raise RuntimeError("Missing token: set Space secret REPLICATE_API_TOKEN (or REPLICATE_TOKEN).")
+
+# HTTP setup
+BASE = "https://api.replicate.com/v1"
+HEADERS = {"Authorization": f"Token {REPLICATE_API_TOKEN}", "Accept": "application/json"}
+TIMEOUT = 30
+
+# State
+last_summary: Dict[str, Any] = {"total": 0, "preview": []}
+
+def fetch_full_catalog() -> List[Dict[str, Any]]:
+    """Page through /models to collect the full public catalog."""
+    url = f"{BASE}/models"
+    items: List[Dict[str, Any]] = []
+    while url:
+        r = requests.get(url, headers=HEADERS, timeout=TIMEOUT)
+        if r.status_code != 200:
+            raise RuntimeError(f"Replicate API error {r.status_code}: {r.text[:500]}")
+        payload = r.json()
+        items.extend(payload.get("results", []))
+        url = payload.get("next")  # absolute URL or None
+    return items
+
+def summarize(items: List[Dict[str, Any]]) -> Dict[str, Any]:
+    """Build a concise summary and preview for logs/endpoint."""
+    # Stable ID: "owner/name"
+    def mid(x: Dict[str, Any]) -> str:
+        owner = x.get("owner") or x.get("username") or ""
+        name = x.get("name") or ""
+        return f"{owner}/{name}".strip("/")
+
+    # Preview fields for UI sanity
+    preview = []
+    for x in items[:50]:
+        preview.append({
+            "id": mid(x),
+            "description": (x.get("description") or "")[:140],
+            "thumbnail": x.get("cover_image_url") or x.get("cover_image") or None,
+            "visibility": x.get("visibility"),
+            "tags": x.get("tags") or x.get("categories") or [],
+        })
+
+    return {"total": len(items), "preview": preview}
+
+def refresh_catalog() -> Dict[str, Any]:
+    models = fetch_full_catalog()
+    summary = summarize(models)
+    # Logs for sanity
+    ids_first50 = [p["id"] for p in summary["preview"] if p.get("id")]
+    log.info("Replicate catalog total models: %d", summary["total"])
+    log.info("First 50 IDs: %s", ids_first50)
+    return summary
+
+app = FastAPI()
+
+@app.on_event("startup")
+def _startup():
+    global last_summary
+    try:
+        last_summary = refresh_catalog()
+    except Exception as e:
+        log.error("Initial fetch failed: %s", e)
+
+@app.get("/")
+def root():
+    # Health + current summary
+    return {"ok": True, **last_summary}
+
+@app.post("/refresh")
+def refresh():
+    global last_summary
+    last_summary = refresh_catalog()
+    return {"ok": True, **last_summary}