From f77853601f783d7360b6545e8bcc7f9072f0c962 Mon Sep 17 00:00:00 2001
From: Jon <jon@MBP-de-Jon.home>
Date: Sun, 25 May 2025 20:09:48 +0200
Subject: [PATCH] Lab Apis

---
 .DS_Store      | Bin 0 -> 6148 bytes
 .cache         |   1 +
 lab-apis.ipynb | 324 ++++++++++++++++++++++++++++++++++++++++++++++---
 3 files changed, 311 insertions(+), 14 deletions(-)
 create mode 100644 .DS_Store
 create mode 100644 .cache

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6
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diff --git a/.cache b/.cache
new file mode 100644
index 0000000..a7a5898
--- /dev/null
+++ b/.cache
@@ -0,0 +1 @@
+{"access_token": "BQB_g1ou-kO7wXzH3QDs79zKadU2lOf3q0Gr0fOdup1tUHDDmprNbKYlIIGYa4nQ9UVndRhfkx8RlLJgk8IRszNNipXO6JHs1ZqpfeLVp55cQ_q8qXykWT11VF7hqP4-vCY6vivw2x0", "token_type": "Bearer", "expires_in": 3600, "expires_at": 1748198117}
\ No newline at end of file
diff --git a/lab-apis.ipynb b/lab-apis.ipynb
index e923554..990de6b 100644
--- a/lab-apis.ipynb
+++ b/lab-apis.ipynb
@@ -382,12 +382,192 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "29694252-f217-454d-8881-681b2b6eeb1e",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your answer here"
+    "# Your answer here\n",
+    "\n",
+    "CLIENT_ID = \"8af7bcd8b1114c6baaf42cb5a57b67a9\"\n",
+    "CLIENT_SECRET = \"80dae3cdd5654e4f858abbe98fd5a339\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "459d173a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import spotipy\n",
+    "from spotipy.oauth2 import SpotifyClientCredentials\n",
+    "\n",
+    "#Initialize SpotiPy with user credentials\n",
+    "sp = spotipy.Spotify(auth_manager=SpotifyClientCredentials(client_id=CLIENT_ID,\n",
+    "                                                           client_secret=CLIENT_SECRET))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5cd5844d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#STEP 1 AND 2 FROM CHALLENGE 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "64f954a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Top tracks for Oques Grasses:\n",
+      "- SORT DE TU\n",
+      "- La Gent Que Estimo\n",
+      "- Elefants\n",
+      "- TOCA\n",
+      "- Serem Ocells\n",
+      "\n",
+      "Top tracks for Ginestà:\n",
+      "- Tot el que ens queda\n",
+      "- Només viure\n",
+      "- Estimar-te com la terra\n",
+      "- Deixar-se anar la mà\n",
+      "- TOT ESTÀ PER FER\n",
+      "\n",
+      "Top tracks for Mushkaa:\n",
+      "- Sempapa\n",
+      "- SexeSexy\n",
+      "- Rifle Talibán - remix\n",
+      "- DIABLA\n",
+      "- 1 CUMBIA AMB EL GUILLEM (1vs1)\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from re import search\n",
+    "\n",
+    "#1.list with my 3 favourtie artists\n",
+    "artists=['Oques Grasses', 'Ginestà', 'Mushkaa']\n",
+    "\n",
+    "#list to populate with the top 5 tracks for each of the 3 artists using the function\n",
+    "top_tracks_list=[]\n",
+    "\n",
+    "#2. Fetch the top 5 tracks for each artist\n",
+    "def get_top_tracks():\n",
+    "    for artist in artists:\n",
+    "        # Search for the artist's Spotify ID using their name\n",
+    "        result = sp.search(q=artist, type='artist', limit=1)\n",
+    "        artist_id = result['artists']['items'][0]['id']  # Get the artist's ID\n",
+    "\n",
+    "        # Get the top tracks for the artist, passing the artist's ID and a country code\n",
+    "        top_tracks = sp.artist_top_tracks(artist_id, country='ES')['tracks'][:5]  # Get top tracks for the artist\n",
+    "        top_tracks_list.append(top_tracks)  # Add the tracks to the list\n",
+    "\n",
+    "# Print the top tracks for each artist\n",
+    "    for i, tracks in enumerate(top_tracks_list):\n",
+    "        print(f\"Top tracks for {artists[i]}:\")\n",
+    "        for track in tracks:\n",
+    "          print(f\"- {track['name']}\")\n",
+    "        print()\n",
+    "\n",
+    "# Call the function\n",
+    "get_top_tracks()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "45216e4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import spotipy as sp\n",
+    "from spotipy.oauth2 import SpotifyClientCredentials\n",
+    "import os\n",
+    "from dotenv import load_dotenv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "73dbd374",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#STEP 3 FROM CHALLENGE 1. \n",
+    "# Discover Related Artists:\n",
+    "    #- Write a function named `find_related_artists`.\n",
+    "    #- This function should accept an artist's name and return the names of the first 5 artists related to the provided artist.\n",
+    "    #- Store the results in a list named `related_artists_list`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "3a68705c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_related_artists(artist_name):\n",
+    "    try:\n",
+    "        results = sp.search(q=artist_name, type='artist', limit=1)\n",
+    "        artist_items = results['artists']['items']\n",
+    "        if not artist_items:\n",
+    "            print(f\"No artist found for: {artist_name}\")\n",
+    "            return []\n",
+    "\n",
+    "        artist_id = artist_items[0]['id']\n",
+    "        related_artists_data = sp.artist_related_artists(artist_id)\n",
+    "        related_names = [artist['name'] for artist in related_artists_data['artists'][:5]]\n",
+    "        return related_names\n",
+    "\n",
+    "    except spotipy.exceptions.SpotifyException as e:\n",
+    "        print(f\"Spotify error with artist '{artist_name}': {e}\")\n",
+    "        return []\n",
+    "\n",
+    "    except Exception as e:\n",
+    "        print(f\"Unexpected error with artist '{artist_name}': {e}\")\n",
+    "        return []"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "163fa5a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Unexpected error with artist 'Oques Grasses': module 'spotipy' has no attribute 'search'\n",
+      "Unexpected error with artist 'Ginestà': module 'spotipy' has no attribute 'search'\n",
+      "Unexpected error with artist 'Mushkaa': module 'spotipy' has no attribute 'search'\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[[], [], []]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "related_artists_list = [find_related_artists(artist) for artist in artists]\n",
+    "related_artists_list"
    ]
   },
   {
@@ -404,10 +584,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "25fb0cf8-c13a-41b0-b8f8-7e0700fd1e41",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'spotipy' has no attribute 'featured_playlists'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[14]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43msp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mfeatured_playlists\u001b[49m() \u001b[38;5;66;03m# We get a playlist id of a playlist we like\u001b[39;00m\n",
+      "\u001b[31mAttributeError\u001b[39m: module 'spotipy' has no attribute 'featured_playlists'"
+     ]
+    }
+   ],
    "source": [
     "sp.featured_playlists() # We get a playlist id of a playlist we like"
    ]
@@ -431,10 +623,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "46d35121-9256-4cf4-81f5-118b87f7af32",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'spotipy' has no attribute 'playlist'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[17]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m playlist_id = \u001b[33m\"\u001b[39m\u001b[33m37i9dQZF1DXd9zR7tdziuQ\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m playlist = \u001b[43msp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mplaylist\u001b[49m(playlist_id)\n",
+      "\u001b[31mAttributeError\u001b[39m: module 'spotipy' has no attribute 'playlist'"
+     ]
+    }
+   ],
    "source": [
     "playlist_id = \"37i9dQZF1DXd9zR7tdziuQ\"\n",
     "playlist = sp.playlist(playlist_id)"
@@ -442,10 +646,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "5260f67f-6024-4fee-8449-30904f03bf76",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'playlist' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[18]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[43mplaylist\u001b[49m[\u001b[33m'\u001b[39m\u001b[33mname\u001b[39m\u001b[33m'\u001b[39m])  \u001b[38;5;66;03m# Print the playlist's name\u001b[39;00m\n\u001b[32m      2\u001b[39m \u001b[38;5;28mprint\u001b[39m(playlist[\u001b[33m'\u001b[39m\u001b[33mdescription\u001b[39m\u001b[33m'\u001b[39m])  \u001b[38;5;66;03m# Print the playlist's description\u001b[39;00m\n",
+      "\u001b[31mNameError\u001b[39m: name 'playlist' is not defined"
+     ]
+    }
+   ],
    "source": [
     "print(playlist['name'])  # Print the playlist's name\n",
     "print(playlist['description'])  # Print the playlist's description"
@@ -462,10 +678,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "id": "69c78f8d-7e6a-4d15-bcbb-fc93edb82433",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'spotipy' has no attribute 'playlist_tracks'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[19]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m tracks = \u001b[43msp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mplaylist_tracks\u001b[49m(playlist_id)\n\u001b[32m      2\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m track \u001b[38;5;129;01min\u001b[39;00m tracks[\u001b[33m'\u001b[39m\u001b[33mitems\u001b[39m\u001b[33m'\u001b[39m]:\n\u001b[32m      3\u001b[39m     \u001b[38;5;28mprint\u001b[39m(track[\u001b[33m'\u001b[39m\u001b[33mtrack\u001b[39m\u001b[33m'\u001b[39m][\u001b[33m'\u001b[39m\u001b[33mname\u001b[39m\u001b[33m'\u001b[39m])  \u001b[38;5;66;03m# Print each track's name\u001b[39;00m\n",
+      "\u001b[31mAttributeError\u001b[39m: module 'spotipy' has no attribute 'playlist_tracks'"
+     ]
+    }
+   ],
    "source": [
     "tracks = sp.playlist_tracks(playlist_id)\n",
     "for track in tracks['items']:\n",
@@ -533,18 +761,86 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "id": "ed92d961-9646-4375-a386-ccc320a958f5",
    "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'spotipy' has no attribute 'featured_playlists'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[22]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;66;03m# 1. Featured Exploration:\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m featured_playlists = \u001b[43msp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mfeatured_playlists\u001b[49m(limit=\u001b[32m5\u001b[39m)\n\u001b[32m      5\u001b[39m \u001b[38;5;66;03m# Get the first 5 playlists\u001b[39;00m\n\u001b[32m      6\u001b[39m playlists = featured_playlists[\u001b[33m'\u001b[39m\u001b[33mplaylists\u001b[39m\u001b[33m'\u001b[39m][\u001b[33m'\u001b[39m\u001b[33mitems\u001b[39m\u001b[33m'\u001b[39m]\n",
+      "\u001b[31mAttributeError\u001b[39m: module 'spotipy' has no attribute 'featured_playlists'"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Featured Exploration:\n",
+    "\n",
+    "featured_playlists = sp.featured_playlists(limit=5)\n",
+    "\n",
+    "# Get the first 5 playlists\n",
+    "playlists = featured_playlists['playlists']['items']\n",
+    "top_5_playlists=[]\n",
+    "\n",
+    "# Loop through them and extract name and id\n",
+    "for playlist in playlists:\n",
+    "    name = playlist['name']\n",
+    "    playlist_id = playlist['id']\n",
+    "    top_5_playlists.append((name, playlist_id))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4eb398f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#2. Deep dive\n",
+    "chosen_playlist_id = top_5_playlists[0][1]  # Pick first one\n",
+    "chosen_playlist_data = sp.playlist(chosen_playlist_id)\n",
+    "\n",
+    "playlist_name = chosen_playlist_data['name']\n",
+    "playlist_description = chosen_playlist_data['description']\n",
+    "playlist_total_tracks = chosen_playlist_data['tracks']['total']\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8ea82c2e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#3. Track-tastic\n",
+    "tracks_data = sp.playlist_items(chosen_playlist_id, limit=10)\n",
+    "first_10_tracks = [item['track']['name'] for item in tracks_data['items']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f89e9afc",
+   "metadata": {},
    "outputs": [],
    "source": [
-    "# Your answer here"
+    "#4. Artistic flair\n",
+    "track_artist_map = {}\n",
+    "\n",
+    "for item in tracks_data['items']:\n",
+    "    track_name = item['track']['name']\n",
+    "    artists = [artist['name'] for artist in item['track']['artists']]\n",
+    "    track_artist_map[track_name] = artists"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -558,7 +854,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,