Mareh A.

task-1/output/cleaned_sales.csv

@@ -0,0 +1,14 @@
+transaction_id,product_name,category,price,quantity,customer_email,date,revenue,vat
+1,Laptop Pro,Electronics,999.99,2,alice@example.com,2024-03-15,1999.98,420.0
+2,Wireless Mouse,Electronics,29.99,5,bob@company.com,2024-03-15,149.95,31.49
+3,Usb Cable,Electronics,4.99,10,,2024-03-16,49.9,10.48
+4,Office Chair,Furniture,349.5,1,charlie@work.org,2024-03-16,349.5,73.39
+5,Standing Desk,Furniture,599.0,1,charlie@work.org,not_a_date,599.0,125.79
+8,Monitor Arm,Furniture,79.99,0,frank@corp.com,2024-03-18,0.0,0.0
+9,Webcam Hd,Electronics,54.99,1,,2024-03-18,54.99,11.55
+10,Desk Lamp,Furniture,34.99,4,grace@university.edu,2024-03-19,139.96,29.39
+11,Noise Cancelling Headphones,Electronics,199.99,1,alice@example.com,2024-03-19,199.99,42.0
+12,Cable Management Kit,Furniture,15.99,6,henry@business.com,2024-03-20,95.94,20.15
+13,Ergonomic Mouse Pad,Furniture,24.99,3,ivan@email.com,2024-03-20,74.97,15.74
+14,Laptop Stand,Furniture,45.99,2,jenny@work.org,2024-03-21,91.98,19.32
+15,Bluetooth Speaker,Unknown,39.99,1,karl@startup.io,2024-03-21,39.99,8.4

task-1/src/config.py

@@ -9,9 +9,8 @@
   3. Raise ValueError if either is missing — do NOT let None silently propagate.
 """
 import os
-
 from dotenv import load_dotenv
-
+#print("dotenv works!")
 
 # Load .env values into os.environ before they're read by _required().
 # (Step 1 from the docstring above; already wired up so the rest of the
@@ -21,15 +20,17 @@
 
 def _required(name: str) -> str:
     """Read an env var; fail loudly if missing."""
-    # TODO 2: Read os.environ[name]; if not set, raise ValueError with a
-    # message that names the missing variable AND points at .env.example.
-    raise NotImplementedError("Implement _required: see TODO 2 in config.py")
+    path = os.environ.get(name)
+    if path is None:
+      raise ValueError(f"Missing required environment path: {name},See .env.example for details.")
+    return path
+
 
 
 # TODO 3: Replace the placeholder lines below by calling _required(...) for
 # each variable. INPUT_PATH and OUTPUT_PATH must be importable from this
 # module by the rest of the pipeline as a relative import
 # (`from .config import INPUT_PATH, ...`), since the pipeline runs as
 # `python -m src.pipeline`.
-INPUT_PATH: str = ""   # TODO: _required("INPUT_PATH")
-OUTPUT_PATH: str = ""  # TODO: _required("OUTPUT_PATH")
+INPUT_PATH: str = _required("INPUT_PATH")
+OUTPUT_PATH: str = _required("OUTPUT_PATH") 

task-1/src/models.py

@@ -10,24 +10,22 @@
 """
 from dataclasses import dataclass
 
-
-# TODO 1: Define a @dataclass called Transaction with these fields:
-#   transaction_id: int
-#   product_name: str
-#   category: str
-#   price: float
-#   quantity: int
-#   customer_email: str
-#   date: str
-#   revenue: float = 0.0
-#   vat: float = 0.0
-#
-# TODO 2: Add __post_init__ that raises ValueError when:
-#   - self.price < 0  (with a message naming the bad value)
-#   - not self.product_name.strip()  (empty / whitespace-only product name)
-
-
-# Replace this stub with your dataclass:
 @dataclass
 class Transaction:
-    transaction_id: int  # TODO: replace this stub with the full field list above
+    transaction_id: int
+    product_name: str
+    category: str
+    price: float
+    quantity: int
+    customer_email: str
+    date: str
+    revenue: float = 0.0
+    vat: float = 0.0
+
+    def __post_init__(self):
+      self.price = float(self.price)
+      if self.price < 0:
+         raise ValueError(f"Price should not be negtive: {self.price}")
+      if not self.product_name.strip():
+         raise ValueError("Product name should not be empty or whitespace-only")
+

task-1/src/pipeline.py

@@ -31,14 +31,20 @@
 
 def read_csv(path: str) -> list[dict]:
     """Read a CSV file into a list of dicts. I/O only — no business rules."""
-    # TODO: implement using csv.DictReader.
-    raise NotImplementedError
+    with open(path, mode='r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        return list(reader)
 
 
 def write_csv(rows: list[dict], path: str) -> None:
     """Write a list of dicts to CSV. I/O only — no business rules."""
-    # TODO: implement using csv.DictWriter.
-    raise NotImplementedError
+    if not rows:
+        return 
+    keys_ofdictionry = rows[0].keys()
+    with open(path, mode='w', encoding='utf-8', newline='') as file:
+        writer = csv.DictWriter(file, fieldnames=keys_ofdictionry)
+        writer.writeheader()
+        writer.writerows(rows)
 
 
 def run() -> None:
@@ -53,6 +59,7 @@ def run() -> None:
     # TODO: cast price / quantity / revenue / vat to the right types here
     # if your transforms left them as strings, then iterate over `data`
     # to build Transaction(**row) for each cleaned row.
+
     transactions = [Transaction(**row) for row in data]
 
     # Output dir must exist. Use pathlib for cross-platform safety.

task-1/src/transforms.py

@@ -18,8 +18,16 @@ def remove_invalid(rows: list[dict]) -> list[dict]:
 
     Empty here means missing, "", or whitespace-only.
     """
-    # TODO: implement. Return a new list, do not mutate `rows`.
-    raise NotImplementedError
+    result = []
+    for row in rows:
+        product_name = row.get("product_name", "")
+        try:
+            price = float(row.get("price", 0))
+        except ValueError:
+            continue
+        if product_name.strip() and price>0:
+            result.append(row.copy())  
+    return result
 
 
 def clean_fields(rows: list[dict]) -> list[dict]:
@@ -31,20 +39,43 @@ def clean_fields(rows: list[dict]) -> list[dict]:
 
     Return a new list. Do not mutate the input rows.
     """
-    # TODO: implement.
-    raise NotImplementedError
+    result = []
+    for row in rows:
+        product_name = row.get("product_name", "").strip().title()
+        customer_email = row.get("customer_email", "").strip().lower()
+        category = row.get("category", "").strip()
+        category = category if category else "Unknown"
+        new_row = row.copy()
+        new_row["product_name"] = product_name
+        new_row["customer_email"] = customer_email
+        new_row["category"] = category
+        result.append(new_row)
+    return result
 
 
 def calculate_revenue(rows: list[dict], vat_rate: float = 0.21) -> list[dict]:
     """Add 'revenue' (price * quantity) and 'vat' (revenue * vat_rate) fields.
 
     Round both to 2 decimal places. Coerce price/quantity from string if needed.
     """
-    # TODO: implement.
-    raise NotImplementedError
+    result = []
+    for row in rows:
+        price = float(row["price"])
+        quantity = int(row["quantity"])
+        revenue = round(price * quantity, 2)
+        vat = round(revenue * vat_rate, 2)
+        new_row = row.copy()
+        new_row["revenue"] = revenue
+        new_row["vat"] = vat
+        result.append(new_row)
+    return result
 
 
 def filter_zero_quantity(rows: list[dict]) -> list[dict]:
     """Remove rows where quantity is 0."""
-    # TODO: implement.
-    raise NotImplementedError
+    result = []
+    for row in rows:
+        quantity = row.get("quantity", 0)
+        if quantity != 0:
+            result.append(row.copy())
+    return result

task-1/tests/test_transforms.py

@@ -1,12 +1,5 @@
-"""Tests for the pure transform functions (chapter Task 5).
-
-Write at least 4 tests:
-  - test_remove_invalid_drops_empty_names
-  - test_clean_fields_normalizes_names
-  - test_calculate_revenue_adds_fields
-  - test_no_mutation
-"""
 import pytest
+import copy
 
 from src.transforms import (
     calculate_revenue,
@@ -17,24 +10,43 @@
 
 
 def test_remove_invalid_drops_empty_names():
-    # TODO: feed in 3 rows (one valid, one empty product_name, one
-    # whitespace-only product_name); assert only the valid one survives.
-    raise NotImplementedError
+    data = [
+        {"product_name": "Laptop", "price": 999.99},
+        {"product_name": "", "price": 50.0},
+        {"product_name": "  ", "price": 25.0},
+    ]
+    result = remove_invalid(data)
+    assert len(result) == 1
+    assert result[0]["product_name"] == "Laptop"
 
 
 def test_clean_fields_normalizes_names():
-    # TODO: feed a row with messy product_name and uppercase email; assert
-    # the output has stripped + title-cased name and lowercase email.
-    raise NotImplementedError
+    data = [
+        {"product_name": "  laptop", "customer_email": "BOB@Company.COM"}
+    ]
+    result = clean_fields(data)
+
+    assert len(result) == 1
+    assert result[0]["product_name"] == "Laptop"
+    assert result[0]["customer_email"] == "bob@company.com"
 
 
 def test_calculate_revenue_adds_fields():
-    # TODO: feed a row with price=100, quantity=3; assert output has
-    # revenue=300.0 and vat=63.0 (default VAT rate is 0.21).
-    raise NotImplementedError
+    data = [
+        {"product_name": "Laptop", "price": 100.0, "quantity": 3}
+    ]
+    result = calculate_revenue(data)
+
+    assert len(result) == 1
+    assert result[0]["revenue"] == 300.0
+    assert result[0]["vat"] == 63.0
 
 
 def test_no_mutation():
-    # TODO: feed in a list, run any transform on it, assert the original
-    # list is unchanged. This is the most important test in the file.
-    raise NotImplementedError
+    original_data = [
+        {"product_name": "Laptop", "price": 100.0, "quantity": 1}
+    ]
+
+    data_to_transform = copy.deepcopy(original_data)
+    calculate_revenue(data_to_transform)
+    assert data_to_transform == original_data

task-2/AI_DEBUG.md

@@ -11,27 +11,118 @@ Aim for 100-200 words per section. Bullet points are fine.
 What went wrong? Paste the traceback or the wrong-output sample. Include the file and the line you were running when it broke.
 
 ```
-(paste here)
+python C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py
+C:\Users\Beheerder\AppData\Local\Microsoft\WindowsApps\python.exe: can't open file 'C:\\Users\\Beheerder\\c55-data-week-2\\UsersBeheerderc55-data-week-2task-1srcpipeline.py': [Errno 2] No such file or directory
+
+Beheerder@Marah MINGW64 ~/c55-data-week-2 (main)
+$ python -m task-1.src.pipeline
+dotenv works!
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py", line 77, in <module>
+    run()
+  File "C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py", line 51, in run
+    raw = read_csv(INPUT_PATH)
+          ^^^^^^^^^^^^^^^^^^^^
+  File "C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py", line 34, in read_csv
+    with open(path, mode='r', encoding='utf-8') as file:
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+FileNotFoundError: [Errno 2] No such file or directory: 'data/messy_sales.csv'
 ```
 
 ## The Prompt
 
 What did you ask the AI? Paste the actual prompt verbatim. (Include the code or stack trace you pasted alongside it; do NOT include any real `.env` values, API keys, or PII — replace those with `<REDACTED>`.)
 
 ```
-(paste here)
+python C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py
+C:\Users\Beheerder\AppData\Local\Microsoft\WindowsApps\python.exe: can't open file 'C:\\Users\\Beheerder\\c55-data-week-2\\UsersBeheerderc55-data-week-2task-1srcpipeline.py': [Errno 2] No such file or directory
+
+Beheerder@Marah MINGW64 ~/c55-data-week-2 (main)
+$ python -m task-1.src.pipeline
+dotenv works!
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py", line 77, in <module>
+    run()
+  File "C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py", line 51, in run
+    raw = read_csv(INPUT_PATH)
+          ^^^^^^^^^^^^^^^^^^^^
+  File "C:\Users\Beheerder\c55-data-week-2\task-1\src\pipeline.py", line 34, in read_csv
+    with open(path, mode='r', encoding='utf-8') as file:
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+FileNotFoundError: [Errno 2] No such file or directory: 'data/messy_sales.csv'
+Is this error because of the data file in a different folder?
 ```
 
 ## The Solution
 
 What did the AI suggest? Did it work on the first try? Did you have to follow up? Paste the final code change (a small diff is best).
 
 ```
-(paste here)
+#LLM Response like that:
+Yes, exactly! You hit the nail on the head.
+
+The error happens because of **where you are standing** (your current directory) versus **where the computer is looking**.
+
+### The Problem
+
+You are standing in `~/c55-data-week-2`.
+Your code is trying to find `data/messy_sales.csv`.
+But looking at your file structure, the data is actually inside `task-1/data/messy_sales.csv`.
+
+Because you are in the "Root" folder, Python looks for a folder named `data` right next to you, doesn't see it, and panics.
+
+### The Fix
+
+You have two ways to fix this. **Option 1 is usually what instructors want.**
+
+#### Option 1: Fix the `INPUT_PATH` (Recommended)
+
+Open your `config.py` (or wherever `INPUT_PATH` is defined) and change it to include the `task-1` folder:
+
+```python
+# Change this:
+INPUT_PATH = "data/messy_sales.csv"
+
+# To this:
+INPUT_PATH = "task-1/data/messy_sales.csv"
+OUTPUT_PATH = "task-1/output/cleaned_sales.csv"
+
+```
+
+#### Option 2: Run from inside the `task-1` folder
+
+If you don't want to change the code, you have to move your terminal "closer" to the data:
+
+1. **Move into the task folder:**
+```bash
+cd task-1
+
+```
+
+
+2. **Run the module from there:**
+```bash
+python -m src.pipeline
+
+```
+
+
+*(Note: Since you moved inside `task-1`, you drop the `task-1.` prefix from the command.)*
+
+### Why "dotenv works!" is a good sign
+
+The fact that you see `dotenv works!` means your Python environment is working and it successfully found your `pipeline.py`. You are 99% of the way there—you just need to point the "boss" (the script) to the right "filing cabinet" (the data folder).
+
+**Try Option 1 first**, as it makes your project more stable when running from the main directory!
 ```
 
 ## Reflection
 
 Did you understand *why* the original code was broken before the AI told you? If not, what was the gap in your mental model? If you understood it before asking, why did you still ask the AI — speed, second opinion, or something else?
 
 (write here, ~100 words)
+Actually, yes, I understand what the problem was, but I wanted to check if I understand the trace in the correct way, and also to add something in task-2 as well ^_^.

task-3/assets/blob_url.txt

@@ -0,0 +1 @@
+https://sthyfstudentsdemo.blob.core.windows.net/week2-mareh-aboghanem/cleaned_sales.csv