Lots of refactoring

.gitignore

@@ -171,4 +171,7 @@ dist
 syftbox.egg-info
 keys/**
 scheduler.lock
-jobs.sqlite
+jobs.sqlite
+notebooks/crypto
+netflix_data/*
+backup/*

.pre-commit-config.yaml

@@ -12,6 +12,7 @@ repos:
         always_run: true
       - id: check-added-large-files
         always_run: true
+        exclude: '.*Pyfhel-3\.4\.2-cp311-cp311-macosx_13_0_arm64\.whl|.*syftbox-0.1.0-py3-none-any\.whl'
       - id: check-yaml
         always_run: true
       - id: check-merge-conflict

app.sh

@@ -0,0 +1,4 @@
+#!/bin/sh
+cp -r ./apps/$1 ./users/$2/apps/$1
+rm -rf ./users/$2/apps/$1/output
+rm ./users/$2/apps/$1/cache/last_run.json

apps/netflix/data/NetflixViewingHistory_TMDB_IMDB.mock.csv

@@ -0,0 +1,6 @@
+netflix_title,netflix_date,tmdb_id,tmdb_title,tmdb_media_type,tmdb_poster_url,homepage,imdb_id,facebook_id,instagram_id,twitter_id,genre_ids,genre_names,imdb_runtime_minutes,imdb_rating
+Psych: Season 1: Pilot: Part 1,2024-08-21,1447,Psych,tv,https://image.tmdb.org/t/p/w500/fDI15gTVbtW5Sbv5QenqecRxWKJ.jpg,http://www.usanetwork.com/series/psych,tt0491738,PsychPeacock,PsychPeacock,PsychPeacock,"[35, 18, 9648, 80]","['Comedy', 'Drama', 'Mystery', 'Crime']",44,8.4
+Monk: Season 1: Mr. Monk and the Candidate: Part 1,2024-08-12,1695,Monk,tv,https://image.tmdb.org/t/p/w500/3axGMbUecXXOPSeG47v2i9wK5y5.jpg,http://www.usanetwork.com/series/monk,tt0312172,,,,"[35, 80, 18, 9648]","['Comedy', 'Crime', 'Drama', 'Mystery']",44,8.1
+3 Body Problem: Season 1: Countdown,2024-03-26,108545,3 Body Problem,tv,https://image.tmdb.org/t/p/w500/ykZ7hlShkdRQaL2aiieXdEMmrLb.jpg,https://www.netflix.com/title/81024821,tt13016388,,3bodyproblem,3body,"[10765, 9648, 18]","['Sci-Fi & Fantasy', 'Mystery', 'Drama']",60,7.5
+Fool Me Once: Limited Series: Episode 1,2024-01-29,220801,Fool Me Once,tv,https://image.tmdb.org/t/p/w500/Ertv4WLEyHgi8zN4ldOKgPcGAZ.jpg,https://www.netflix.com/title/81588093,tt5611024,,,,"[18, 80, 9648]","['Drama', 'Crime', 'Mystery']",50,6.8
+Exploding Kittens: Pilot,2024-07-19,219532,Exploding Kittens,tv,https://image.tmdb.org/t/p/w500/4WctqRtusYpTLHNkuVjQe4R51DZ.jpg,https://www.netflix.com/title/81459282,tt19734104,,,,"[16, 35]","['Animation', 'Comedy']",25,6.8

apps/netflix/dataset.py

@@ -0,0 +1,45 @@
+import os
+
+import pandas as pd
+
+from syftbox.lib import ClientConfig, SyftVault, TabularDataset
+
+
+def run():
+    try:
+        imdb_df = pd.read_csv("./temp/3_imdb.csv")
+
+        dataset_filename = "NetflixViewingHistory_TMDB_IMDB.csv"
+        imdb_mock_df = pd.read_csv("./data/NetflixViewingHistory_TMDB_IMDB.mock.csv")
+
+        if set(imdb_df.columns) != set(imdb_mock_df.columns):
+            raise Exception("Netflix real vs mock schema are different")
+
+        config_path = os.environ.get("SYFTBOX_CLIENT_CONFIG_PATH", None)
+        client_config = ClientConfig.load(config_path)
+        manifest = client_config.manifest
+
+        # create public datasets folder
+        datasets_path = manifest.create_public_folder("datasets")
+
+        dataset_path = datasets_path / "netflix_tmdb_imdb"
+        csv_file = dataset_path / dataset_filename
+        os.makedirs(dataset_path, exist_ok=True)
+
+        # write mock data
+        imdb_mock_df.to_csv(csv_file)
+
+        dataset = TabularDataset.from_csv(
+            csv_file, name="Netflix_TMDB_IMDB", has_private=True
+        )
+        dataset.publish(manifest, overwrite=True)
+
+        # write private file
+        private_path = os.path.abspath(f"./output/{dataset_filename}")
+        imdb_df.to_csv(private_path)
+        print(f"> Writing private {dataset_filename} to {private_path}")
+
+        SyftVault.link_private(csv_file, private_path)
+
+    except Exception as e:
+        print("Failed to make dataset with dataset.py", e)

syftbox/client/apps/netflix/imdb.py → apps/netflix/imdb.py

@@ -77,3 +77,7 @@ def run():
 
         print(traceback.print_exc())
         print("Failed to run imdb.py", e)
+
+
+if __name__ == "__main__":
+    run()

syftbox/client/apps/netflix/main.py → apps/netflix/main.py

@@ -1,6 +1,7 @@
 import argparse
 import os
 
+from dataset import run as make_dataset
 from imdb import run as add_imdb_data
 from netflix import run as preprocess_netflix
 from page import run as make_page
@@ -72,6 +73,7 @@ def main():
     preprocess_netflix()
     get_tmdb_data(tmdb_api_key, missing_file)
     add_imdb_data()
+    make_dataset()
     make_page()
 
     last_run = {"input_hash": input_hash}

syftbox/client/apps/netflix/netflix.py → apps/netflix/netflix.py

@@ -19,3 +19,7 @@ def run():
 
     except Exception as e:
         print("Failed to run netflix.py", e)
+
+
+if __name__ == "__main__":
+    run()

syftbox/client/apps/netflix/page.py → apps/netflix/page.py

@@ -134,4 +134,8 @@ def run():
         import traceback
 
         print(traceback.print_exc())
-        print("Failed to run html.py", e)
+        print("Failed to run page.py", e)
+
+
+if __name__ == "__main__":
+    run()

syftbox/client/apps/netflix/run.sh → apps/netflix/run.sh

@@ -3,4 +3,5 @@ uv venv .venv
 uv pip install -r requirements.txt
 TMDB_API_KEY=$(cat inputs/TMDB_API_KEY.txt)
 
-uv run main.py --tmdb-api-key=$TMDB_API_KEY --missing-imdb-file=inputs/missing_imdb_id.json $( [ "$1" = "--force" ] && echo '--force' )
+uv run python -c "import syftbox; print(syftbox.__version__)"
+uv run main.py --tmdb-api-key=$TMDB_API_KEY --missing-imdb-file=inputs/missing_imdb_id.json "$@"

build.sh

@@ -1,3 +1,4 @@
 #!/bin/bash
 rm -rf dist
-uv build
+uv build
+cp dist/syftbox-0.1.0-py3-none-any.whl ./

davo.sh

@@ -0,0 +1,2 @@
+#!/bin/bash
+uv run syftbox/client/client.py --config_path=./users/davo.json --sync_folder=./users/davo [email protected] --port=8089 --server=http://localhost:5001

me.sh

@@ -1,2 +1,3 @@
 #!/bin/bash
+export SYFTBOX_DEV="true"
 uv run syftbox/client/client.py --config_path=./users/me.json --sync_folder=./users/me [email protected] --port=8085 --server=http://localhost:5001

notebooks/01-trade-create.ipynb

@@ -177,8 +177,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "csv_file = datasets_path / \"trade_data\" / \"trade_mock.csv\"\n",
-    "csv_file"
+    "dataset_path = datasets_path / \"trade_data\"\n",
+    "dataset_path"
    ]
   },
   {
@@ -188,7 +188,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "mock_ca_data.to_csv(csv_file)"
+    "import os\n",
+    "\n",
+    "os.makedirs(dataset_path, exist_ok=True)"
    ]
   },
   {
@@ -197,6 +199,27 @@
    "id": "19",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "csv_file = dataset_path / \"trade_mock.csv\"\n",
+    "csv_file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mock_ca_data.to_csv(csv_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "21",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "dataset = TabularDataset.from_csv(csv_file, name=\"Trade Data\", has_private=True)\n",
     "dataset"
@@ -205,7 +228,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "20",
+   "id": "22",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -215,7 +238,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "21",
+   "id": "23",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -225,7 +248,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "22",
+   "id": "24",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -235,14 +258,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "23",
+   "id": "25",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "24",
+   "id": "26",
    "metadata": {},
    "source": [
     "# Link Private Data"
@@ -251,7 +274,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "25",
+   "id": "27",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -261,7 +284,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "26",
+   "id": "28",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -272,7 +295,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "27",
+   "id": "29",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -282,7 +305,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "28",
+   "id": "30",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -292,7 +315,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "29",
+   "id": "31",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -314,7 +337,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.6"
   }
  },
  "nbformat": 4,