Merge pull request #244 from onkar-kota/feat/json_to_csv

Added json_to_csv project (issue #150)

Author: kaal-coder

Diff for: Python Projects/json_to_csv/README.MD

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+# json to csv convertor
+
+## Introduction
+
+This Python script allows you to convert json file to csv file and save them to a specified directory. It uses json and csv library to process json files and do manupulations accordingly.
+
+## Usage
+
+### Prerequisites
+
+Before using this script, ensure you have the following:
+
+- Python installed on your system.
+- Required libraries: `csv`, `json`, `python`
+
+### Running the Script
+
+1. Place the json file you want to convert to csv file in the same directory as this script.
+
+2. Replace the `input_file` variable with the name of your json file name with .json extention.
+
+```python
+input_file = 'json_data.json'
+python json_to_csv_with_nested_dict.py
+```
+
+### Information about  .py file
+
+1. `json_to_csv` function
+   
+- This function defines the JSON to CSV converter. It takes three arguments:
+- Args :
+    - **json_data**: A JSON object or list of JSON objects.
+    - **csv_file**: The path to the CSV file to write the data to.
+    - **mapping**: A dictionary mapping JSON field names to CSV column headers.
+- Returns:
+    - None
+
+1. `flatten_json` function
+   
+- This function flattens the JSON data. It works by recursively iterating over the JSON object and converting any nested JSON objects into a single level of key-value pairs.
+  
+- Args :
+    - **obj**: A nested JSON object.
+
+- Returns:
+    - A flattened JSON object.
+
+### Output
+
+The script will create a directory named **csv_data.csv** in the same location as the script. Within this directory.
+
+![Alt text](image.png)

Diff for: Python Projects/json_to_csv/__pycache__/json_to_csv.cpython-311.pyc

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+
+[
+  {
+      "name": "Test37",
+      "status": "done",
+      "slug": "test-375960",
+      "date": "13-10-2023",
+      "author": "unknown",
+      "probability": "89%",
+      "result": "70%",
+      "final_status": "failed",
+      "connected": {
+          "run_again": "True",
+          "next_test": "Test38",
+          "next_test_status": "pending"
+      }
+  },
+  {
+      "name": "Test38",
+      "status": "pending",
+      "slug": "test-385960",
+      "date": "13-10-2023",
+      "author": "unknown",
+      "probability": "80%",
+      "result": "None",
+      "final_status": "None"
+  }
+]

Diff for: Python Projects/json_to_csv/image.png

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+import json
+import csv
+
+def json_to_csv(json_data, csv_file, mapping=None):
+
+  if isinstance(json_data, list):
+    # Flatten nested JSON structures.
+    json_data = [flatten_json(obj) for obj in json_data]
+
+  # Get the column headers from the mapping or from the JSON data itself.
+  column_headers = mapping or json_data[0].keys()
+
+  # Write the CSV file.
+  with open(csv_file, "w", newline="") as f:
+    writer = csv.writer(f)
+    writer.writerow(column_headers)
+    for row in json_data:
+      # Convert nested values to strings.
+      row_values = [str(row.get(column, "")) for column in column_headers]
+      writer.writerow(row_values)
+
+def flatten_json(obj):
+
+  flattened = {}
+  for key, value in obj.items():
+    if isinstance(value, dict):
+      flattened.update(flatten_json(value))
+    elif isinstance(value, list):
+      for item in value:
+        flattened["{}.{}".format(key, item)] = item
+    else:
+      flattened[key] = value
+  return flattened
+
+# sample mapping if needed
+mapping = {
+    "name": "Name",
+    "status": "Status",
+    "date": "Date",
+    "author": "Author",
+    "probability": "Probability",
+    "result": "Result",
+    "final_status": "Final Status",
+    "connected.run_again": "Run Again",
+    "connected.next_test": "Next Test",
+    "connected.next_test_status": "Next Test Status"
+}
+
+
+def main():
+  # Load the JSON data.
+  with open("json_data.json", "r") as json_file:
+    json_data = json.load(json_file)
+
+  # Convert the JSON data to CSV format.
+  json_to_csv(json_data, "csv_data.csv")
+
+if __name__ == "__main__":
+  main()