🚀 Here's the PR! #6

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Sandbox Execution ✓

Here are the sandbox execution logs prior to making any changes:

Sandbox logs for 1b6fb67

Checking Flask/app.py for syntax errors... ✅ Flask/app.py has no syntax errors! 1/1 ✓
Checking Flask/app.py for syntax errors...
✅ Flask/app.py has no syntax errors!

Sandbox passed on the latest LogisticRegression, so sandbox checks will be enabled for this issue.

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/Hardeepex/NBA-Betting/blob/1b6fb677c63f033a34617136d57dd64c7fd5aab4/README.md#L1-L61 https://github.com/Hardeepex/NBA-Betting/blob/1b6fb677c63f033a34617136d57dd64c7fd5aab4/notes.txt#L1-L67 https://github.com/Hardeepex/NBA-Betting/blob/1b6fb677c63f033a34617136d57dd64c7fd5aab4/src/Utils/tools.py#L1-L75 https://github.com/Hardeepex/NBA-Betting/blob/1b6fb677c63f033a34617136d57dd64c7fd5aab4/src/DataProviders/SbrOddsProvider.py#L1-L44

Step 2: ⌨️ Coding

[X] Create src/main.py ✓ https://github.com/Hardeepex/NBA-Betting/commit/5be90411f07f9d00eefa6b5edc74f1a37dc8859d Edit
Create src/main.py with contents:
• Import the XGBoost_Model_ML and XGBoost_Model_UO files at the top of the main.py file.
• Call the functions in the XGBoost_Model_ML and XGBoost_Model_UO files to generate the AI's predictions.
• Use the AI's predictions in the betting process. This will likely involve modifying the code that determines which bets to place.

[X] Running GitHub Actions for src/main.py ✓ Edit
Check src/main.py with contents:

Ran GitHub Actions for 5be90411f07f9d00eefa6b5edc74f1a37dc8859d:

[X] Modify Flask/app.py ✓ https://github.com/Hardeepex/NBA-Betting/commit/e25d6042c1b21a0de5b6fb8d94cdcafca94a29a3 Edit
Modify Flask/app.py with contents:
• Import the main.py file at the top of the app.py file.
• Modify the routes in the Flask application to include the AI's predictions. This will likely involve adding the AI's predictions to the context that is passed to the templates.
• Modify the templates in the Flask application to display the AI's predictions. This will likely involve adding new elements to the templates that display the AI's predictions.

--- 
+++ 
@@ -1,3 +1,4 @@
+import main
 from datetime import date
 import json
 from flask import Flask, render_template
@@ -68,4 +69,5 @@
     draftkings = fetch_draftkings(ttl_hash=get_ttl_hash())
     betmgm = fetch_betmgm(ttl_hash=get_ttl_hash())

-    return render_template('index.html', today=date.today(), data={"fanduel": fanduel, "draftkings": draftkings, "betmgm": betmgm})+    ai_predictions = main.get_ai_predictions()
+    return render_template('index.html', today=date.today(), data={"fanduel": fanduel, "draftkings": draftkings, "betmgm": betmgm, "ai_predictions": ai_predictions})

[X] Running GitHub Actions for Flask/app.py ✓ Edit
Check Flask/app.py with contents:

Ran GitHub Actions for e25d6042c1b21a0de5b6fb8d94cdcafca94a29a3:

[X] Create tests/test_integration.py ✓ https://github.com/Hardeepex/NBA-Betting/commit/32e8984d52e229add53faaa042e7e2b5fbb5ea7e Edit
Create tests/test_integration.py with contents:
• Import the main.py and app.py files at the top of the test_integration.py file.
• Write tests that ensure that the AI's predictions are properly used in the betting process. These tests should cover all possible cases and use test data as needed.
• Write tests that ensure that the AI's predictions are properly displayed in the Flask application. These tests should cover all possible cases and use test data as needed.

[X] Running GitHub Actions for tests/test_integration.py ✓ Edit
Check tests/test_integration.py with contents:

Ran GitHub Actions for 32e8984d52e229add53faaa042e7e2b5fbb5ea7e:

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/how_i_can_integrate_the_ai_in_this_nba_b.

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Hardeepex / NBA-Betting

sweep: how i can integrate the AI in this NBA Betting tool #5