[bug] nft price model (OpenBB-finance#2475)

* Update nftpricefloor_model.py

* fixes to match new api

Co-authored-by: James Maslek <[email protected]>
Co-authored-by: Colin Delahunty <[email protected]>

openbb_terminal/cryptocurrency/nft/nftpricefloor_model.py

@@ -32,10 +32,12 @@ def get_collections() -> pd.DataFrame:
     pd.DataFrame
         nft collections
     """
-    res = requests.get(f"{API_URL}/nfts")
+    res = requests.get(f"{API_URL}/projects")
     if res.status_code == 200:
         data = res.json()
         df = pd.DataFrame(data)
+        df_stats = pd.json_normalize(df["stats"])
+        df = pd.concat([df, df_stats], axis=1)
         return df
     return pd.DataFrame()
 
@@ -54,13 +56,13 @@ def get_floor_price(slug) -> pd.DataFrame:
     pd.DataFrame
         nft collections
     """
-    res = requests.get(f"{API_URL}/nft/{slug}/chart/pricefloor?interval=all")
+    res = requests.get(f"{API_URL}/projects/{slug}/charts/all")
     if res.status_code == 200:
         data = res.json()
         df = pd.DataFrame(
-            data, columns=["dates", "dataPriceFloorETH", "dataVolumeETH", "sales"]
+            data, columns=["timestamps", "floorEth", "volumeEth", "salesCount"]
         )
-        df = df.set_index("dates")
-        df.index = pd.to_datetime(df.index)
+        df = df.set_index("timestamps")
+        df.index = pd.to_datetime(df.index * 1_000_000)
         return df
     return pd.DataFrame()

openbb_terminal/cryptocurrency/nft/nftpricefloor_view.py

@@ -46,10 +46,9 @@ def display_collections(
         df = df[
             [
                 "slug",
-                "name",
-                "floorPriceETH",
+                "floorInfo.currentFloorEth",
                 "totalSupply",
-                "countOnSale",
+                "listedCount",
                 "blockchain",
             ]
         ]
@@ -59,9 +58,9 @@ def display_collections(
                 df_collection = nftpricefloor_model.get_floor_price(collection)
                 if not df_collection.empty:
                     values = (
-                        df_collection["dataPriceFloorETH"]
+                        df_collection["floorEth"]
                         if show_fp
-                        else df_collection["sales"]
+                        else df_collection["salesCount"]
                     )
                     ax.plot(df_collection.index, values, label=collection)
             ax.set_ylabel("Floor Price [ETH]" if show_fp else "Sales")
@@ -125,14 +124,14 @@ def display_floor_price(
             _, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
         elif is_valid_axes_count(external_axes, 1):
             (ax,) = external_axes
-        ax.bar(df.index, df["sales"], color=theme.down_color, label="Sales")
+        ax.bar(df.index, df["salesCount"], color=theme.down_color, label="Sales")
         ax.set_xlim(
             df.index[0],
             df.index[-1],
         )
 
         ax2 = ax.twinx()
-        ax2.plot(df["dataPriceFloorETH"], color=theme.up_color, label="Floor Price")
+        ax2.plot(df["floorEth"], color=theme.up_color, label="Floor Price")
         ax2.set_ylabel("Sales", labelpad=20)
         ax2.set_zorder(ax2.get_zorder() + 1)
         ax.patch.set_visible(False)