🚀 Here's the PR! #11

See Sweep's progress at the progress dashboard!

💎 Sweep Pro: I'm using GPT-4. You have unlimited GPT-4 tickets. (tracking ID: eda7327a58)

Install Sweep Configs: Pull Request

[!TIP] I'll email you at hardeep.ex@gmail.com when I complete this pull request!

Actions (click)

[ ] ↻ Restart Sweep

GitHub Actions✓

Here are the GitHub Actions logs prior to making any changes:

Sandbox logs for 973b291

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

Sandbox passed on the latest main, 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/apiscrape/blob/973b291d013fb0b58bc308745d71dc88d78dbb75/main.py#L36-L102 https://github.com/Hardeepex/apiscrape/blob/973b291d013fb0b58bc308745d71dc88d78dbb75/main.py#L17-L35 https://github.com/Hardeepex/apiscrape/blob/973b291d013fb0b58bc308745d71dc88d78dbb75/main.py#L1-L16

Step 2: ⌨️ Coding

[X] Modify main.py ✓ https://github.com/Hardeepex/apiscrape/commit/9172d2b5e96d5d8a25c4e9c90a8aa114e575d3d4 Edit
Modify main.py with contents:
• Import the csv module at the top of the file.
• Modify the fetch_api_data function to save the organized_data in both CSV and JSON formats. Use the json.dump function to save the data in JSON format. Use csv.writer to save the data in CSV format. Make sure to handle any exceptions that may occur during the file writing process.
• Create a new function upload_data_to_server that takes the file path of the data file and the server URL as parameters. Use the requests.post function to upload the file to the server. Make sure to handle any exceptions that may occur during the file upload process.
• Create a new function create_api that takes the file path of the data file as a parameter. This function should read the data from the file and return it as a JSON response. Use the Flask framework to create the API. Make sure to handle any exceptions that may occur during the API creation process.

--- 
+++ 
@@ -1,4 +1,5 @@
 import requests
+import csv

 cookies = {
     'LocationIP': '99.235.82.251',
@@ -71,6 +72,19 @@
     response_json = response.json()
     # Organize the data in a specific format
     organized_data = organize_data(response_json)
+    # Save the organized data in JSON format
+    try:
+        with open('data.json', 'w') as json_file:
+            json.dump(organized_data, json_file)
+    except Exception as e:
+        print('An error occurred while writing to JSON:', e)
+    # Save the organized data in CSV format
+    try:
+        with open('data.csv', 'w', newline='') as csv_file:
+            csv_writer = csv.writer(csv_file)
+            csv_writer.writerows(organized_data.items())
+    except Exception as e:
+        print('An error occurred while writing to CSV:', e)
     return organized_data

 def organize_data(data):
@@ -101,3 +115,27 @@
         json.dump(response.json(), file)
 else:
     print("Request failed with status code:", response.status_code)
+
+def upload_data_to_server(file_path, server_url):
+    try:
+        with open(file_path, 'rb') as data_file:
+            files = {'file': (file_path, data_file)}
+            response = requests.post(server_url, files=files)
+            response.raise_for_status()
+            print('File uploaded successfully.')
+    except Exception as e:
+        print('An error occurred during file upload:', e)
+
+from flask import Flask, jsonify
+
+app = Flask(__name__)
+
+@app.route('/api/data', methods=['GET'])
+def create_api(file_path):
+    try:
+        with open(file_path, 'r') as data_file:
+            data = json.load(data_file)
+            return jsonify(data)
+    except Exception as e:
+        print('An error occurred while creating the API:', e)
+        return jsonify({'error': 'An error occurred while loading data'}), 500

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

Ran GitHub Actions for 9172d2b5e96d5d8a25c4e9c90a8aa114e575d3d4:

Step 3: 🔁 Code Review

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

🎉 Latest improvements to Sweep:

We just released a dashboard to track Sweep's progress on your issue in real-time, showing every stage of the process – from search to planning and coding.
Sweep uses OpenAI's latest Assistant API to plan code changes and modify code! This is 3x faster and significantly more reliable as it allows Sweep to edit code and validate the changes in tight iterations, the same way as a human would.
Try using the GitHub issues extension to create Sweep issues directly from your editor! GitHub Issues and Pull Requests.

💡 To recreate the pull request edit the issue title or description. To tweak the pull request, leave a comment on the pull request. ^{Join Our Discord}

Hardeepex / apiscrape

Sweep: I want to create a more robust web scraper for scraping the content from network tab apis #10