Hannah

AI_DEBUG.md

@@ -9,18 +9,47 @@ Document the debugging session below. If everything worked first try, introduce
 
 <!-- Paste the full Python traceback here. Include the error type, message, and the lines that caused it. -->
 
+Traceback (most recent call last):
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\knack/cli.py", line 233, in invoke
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 677, in execute
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 820, in _run_jobs_serially
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 789, in _run_job
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/__init__.py", line 335, in __call__
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/commands/command_operation.py", line 120, in handler
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/command_modules/profile/custom.py", line 215, in login
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/_profile.py", line 177, in login
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/auth/identity.py", line 175, in login_with_device_code
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\azure/cli/core/auth/identity.py", line 125, in _msal_app
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\msal/application.py", line 2090, in __init__
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\msal/application.py", line 649, in __init__
+  File "D:\a\_work\1\s\build_scripts\windows\artifacts\cli\Lib\site-packages\msal/authority.py", line 115, in __init__
+ValueError: Unable to get authority configuration for https://login.microsoftonline.com/07a14c4e-d88f-42f7-83b3-13af7e57ff3d. Authority would typically be in a format of https://login.microsoftonline.com/your_tenant or https://tenant_name.ciamlogin.com or https://tenant_name.b2clogin.com/tenant.onmicrosoft.com/policy.  Also please double check your tenant name or GUID is correct.
+To check existing issues, please visit: https://github.com/Azure/azure-cli/issues
+Please run 'az login' to setup account.
+Please run 'az login' to setup account.
+
+
 ## The Prompt
 
 <!-- Paste the exact message you sent to the LLM (ChatGPT, Claude, etc.).
      Include: the error, the relevant code snippet, and what you asked the AI to help with. -->
 
+     How to solve this?
+
 ## The Solution
 
 <!-- What did the AI suggest?
      Did you apply the suggestion as-is, or did you need to adapt it? Explain what changed. -->
 
+     The error says the tenant ID is wrong. There is a typo in it!
+
 ## Reflection
 
 <!-- Did you understand *why* the code was broken before you got the AI's answer?
      After the fix: do you understand why it works now?
      What would you do differently next time you hit this type of error? -->
+
+
+
+
+     I have two accounts under my email and they seem to cause conflict when i try to login

database.py

@@ -25,7 +25,23 @@ def create_tables(conn: sqlite3.Connection) -> None:
         + UNIQUE(station, timestamp) constraint for upserts
     """
     # TODO: use conn.execute() with CREATE TABLE IF NOT EXISTS statements
-    raise NotImplementedError
+    conn.execute("""CREATE TABLE IF NOT EXISTS raw_weather (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    station TEXT,
+    timestamp TEXT,
+    temperature_c TEXT,
+    humidity_pct TEXT,
+    source TEXT,
+    ingested_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+)""")
+    conn.execute("""CREATE TABLE IF NOT EXISTS weather_readings (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    station TEXT,
+    timestamp TEXT,
+    temperature_c REAL,
+    humidity_pct INTEGER,
+    UNIQUE(station, timestamp)
+)""")
 
 
 def insert_raw(conn: sqlite3.Connection, records: list[dict], source: str) -> None:
@@ -34,7 +50,19 @@ def insert_raw(conn: sqlite3.Connection, records: list[dict], source: str) -> No
     Use parameterized queries with placeholder syntax; do not build SQL via string formatting.
     """
     # TODO: implement
-    raise NotImplementedError
+    for record in records:
+        conn.execute(
+            """INSERT INTO raw_weather (station, timestamp, temperature_c, humidity_pct, source)
+               VALUES (?, ?, ?, ?, ?)""",
+            (
+                record.get("station"),
+                record.get("timestamp"),
+                record.get("temperature_c"),
+                record.get("humidity_pct"),
+                source,
+            )
+        )       
+
 
 
 def upsert_readings(conn: sqlite3.Connection, readings: list[WeatherReading]) -> None:
@@ -44,10 +72,27 @@ def upsert_readings(conn: sqlite3.Connection, readings: list[WeatherReading]) ->
     Use parameterized queries.
     """
     # TODO: implement
-    raise NotImplementedError
+    for reading in readings:
+            conn.execute(
+                """INSERT INTO weather_readings (station, timestamp, temperature_c, humidity_pct)
+                VALUES (?, ?, ?, ?)
+                ON CONFLICT(station, timestamp) DO UPDATE SET
+                    temperature_c=excluded.temperature_c,
+                    humidity_pct=excluded.humidity_pct""",
+                (
+                    reading.station,
+                    reading.timestamp,
+                    reading.temperature_c,
+                    reading.humidity_pct,
+                )
+            )       
+
 
 
 def count_readings(conn: sqlite3.Connection) -> int:
     """Return the total number of rows in weather_readings."""
     # TODO: implement
-    raise NotImplementedError
+    cursor = conn.execute("SELECT COUNT(*) FROM weather_readings")
+    count = cursor.fetchone()[0]
+    return count        
+

ingest_api.py

@@ -19,7 +19,22 @@ def fetch_with_retry(url: str, params: dict, max_retries: int = 3, timeout: int
     Log each retry attempt with the error and delay.
     """
     # TODO: implement retry loop with exponential backoff
-    raise NotImplementedError
+    for attempt in range(1, max_retries + 1):
+        try:
+            response = requests.get(url, params=params, timeout=timeout)
+            if response.status_code >= 500:
+                raise requests.HTTPError(f"Server error: {response.status_code}")
+            elif response.status_code >= 400:
+                response.raise_for_status()  # Will raise HTTPError for 4xx
+            return response.json()
+        except (requests.ConnectionError, requests.Timeout, requests.HTTPError) as e:
+            if attempt == max_retries or isinstance(e, requests.HTTPError) and e.response.status_code < 500:
+                logger.error(f"Request failed after {attempt} attempts: {e}")
+                raise
+            delay = 2 ** (attempt - 1)  # Exponential backoff: 1s, 2s, 4s...
+            logger.warning(f"Request error: {e}. Retrying in {delay} seconds... (Attempt {attempt}/{max_retries})")
+            time.sleep(delay)
+    raise RuntimeError("Exceeded maximum retry attempts")
 
 
 def fetch_api_records() -> list[dict]:
@@ -38,4 +53,23 @@ def fetch_api_records() -> list[dict]:
     # - Call fetch_with_retry with API_URL and params
     # - The API returns {"hourly": {"time": [...], "temperature_2m": [...], "relative_humidity_2m": [...]}}
     # - Flatten to a list of dicts; set station="Open-Meteo Copenhagen" for all records
-    raise NotImplementedError
+    for attempt in range(1, 4):
+        try:
+            data = fetch_with_retry(API_URL, params)
+            hourly = data.get("hourly", {})
+            times = hourly.get("time", [])
+            temps = hourly.get("temperature_2m", [])
+            hums = hourly.get("relative_humidity_2m", [])
+            records = []
+            for time_str, temp, hum in zip(times, temps, hums):
+                records.append({
+                    "station": "Open-Meteo Copenhagen",
+                    "timestamp": time_str,
+                    "temperature_c": temp,
+                    "humidity_pct": hum,
+                })
+            return records
+        except Exception as e:
+            logger.error(f"Failed to fetch API records: {e}")
+            return []
+    raise RuntimeError("Exceeded maximum retry attempts")

ingest_files.py

@@ -5,6 +5,20 @@
 from pathlib import Path
 
 
+def try_parse_float(value: str):
+    try:
+        return float(value)
+    except ValueError:
+        return value
+
+
+def try_parse_int(value: str):
+    try:
+        return int(value)
+    except ValueError:
+        return value
+
+
 def read_csv_records(path: Path) -> list[dict]:
     """Read weather_stations.csv and return normalized records.
 
@@ -17,4 +31,15 @@ def read_csv_records(path: Path) -> list[dict]:
     - Leave unconvertible values (e.g. "N/A", "") as-is so validation can catch them.
     """
     # TODO: implement CSV reading and normalization
-    raise NotImplementedError
+    with path.open(newline="", encoding="utf-8") as f:
+        reader = csv.DictReader(f)
+        records = []
+        for row in reader:
+            record = {
+                "station": row.get("station", "").strip(),
+                "timestamp": row.get("timestamp", "").strip(),
+                "temperature_c": try_parse_float(row.get("temperature_c", "").strip()),
+                "humidity_pct": try_parse_int(row.get("humidity_pct", "").strip()),
+            }
+            records.append(record)
+        return records

models.py

@@ -1,7 +1,7 @@
 # Step 1 — Task 4: Pydantic Validation
 # Define the WeatherReading model that every ingested record must pass.
 # Both the API and CSV data flow through this model before reaching the database.
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, Field, field_validator, ValidationError
 
 
 class WeatherReading(BaseModel):
@@ -14,4 +14,24 @@ class WeatherReading(BaseModel):
     @classmethod
     def clean_station(cls, v: str) -> str:
         # TODO: strip whitespace and convert to title case
-        raise NotImplementedError
+        v = v.strip()
+        v = v.title()
+        return v
+
+def validate_readings(raw_records: list[dict]) -> tuple[list[WeatherReading], list[dict]]:
+    """Validate a list of raw records, returning valid records and errors."""
+    valid = []
+    errors = []
+
+    for i, record in enumerate(raw_records):
+        try:
+            reading = WeatherReading(**record)
+            valid.append(reading)
+        except ValidationError as e:
+            errors.append({
+                "index": i,
+                "record": record,
+                "errors": e.errors(),
+            })
+
+    return valid, errors

pipeline.py

@@ -18,6 +18,53 @@
 def run_pipeline() -> None:
     OUTPUT_DIR.mkdir(exist_ok=True)
 
+    # step 1 - fetch from API
+    api_records = fetch_api_records()
+
+    # step 2 - read from CSV
+    csv_records = read_csv_records(CSV_PATH)
+
+    # step 3 - combine both
+    all_records = api_records + csv_records
+
+    # step 4 - open database once
+    conn = get_connection()
+    create_tables(conn)
+
+    # step 5 - insert all raw records
+    insert_raw(conn, api_records, "api")
+    insert_raw(conn, csv_records, "csv")
+    conn.commit()
+
+    # step 6 - validate all records
+    valid_api, errors_api = validate_records(api_records, "api")
+    valid_csv, errors_csv = validate_records(csv_records, "csv")
+    valid = valid_api + valid_csv
+    errors = errors_api + errors_csv
+
+    # step 7 - upsert valid records
+    upsert_readings(conn, valid)
+    conn.commit()
+
+    # step 8 - save error report
+    error_report_path = OUTPUT_DIR / "error_report.json"
+    with error_report_path.open("w", encoding="utf-8") as f:
+        json.dump(errors, f, indent=2, default=str)
+
+    # step 9 - print summary
+    print("=== Pipeline Summary ===")
+    print(f"API records fetched: {len(api_records)}")
+    print(f"CSV records read: {len(csv_records)}")
+    print(f"Total raw records: {len(all_records)}")
+    print(f"Valid records: {len(valid)}")
+    print(f"Invalid records: {len(errors)}")
+    print(f"Records in database: {count_readings(conn)}")
+    print(f"Error report: {error_report_path}")
+
+    conn.close()
+
+
+
     # TODO — implement each step in order:
     #
     # 1. Fetch records from Open-Meteo API using fetch_api_records()
@@ -43,7 +90,6 @@ def run_pipeline() -> None:
     #    Records in database: 169
     #    Error report: output/error_report.json
 
-    raise NotImplementedError
 
 
 if __name__ == "__main__":

validate.py

@@ -19,4 +19,17 @@ def validate_records(
         error_details - the Pydantic error list (ValidationError.errors())
     """
     # TODO: iterate over records, try WeatherReading(**record), accumulate results
-    raise NotImplementedError
+    valid_records = []
+    error_records = []
+    for i, record in enumerate(records):
+        try:
+            validated_record = WeatherReading(**record)
+            valid_records.append(validated_record)
+        except ValidationError as e:
+            error_records.append({
+                "index": i,
+                "source": source,
+                "raw_record": record,
+                "error_details": e.errors()
+            })
+    return valid_records, error_records