completed tech test

junior_tech_test.py

@@ -1,59 +1,115 @@
+import csv
+
+
 def read_csv_file(file_path):
     """
     Read a CSV file and return its content as a list of dictionaries.
     """
-    return
+
+    with open(file_path, encoding='utf-8') as c:
+        reader = csv.DictReader(c, delimiter=',')
+        data = []
+        for row in reader:
+            data.append(row)
+    return data
 
 def get_unique_teams(data):
     """
     Return a set of unique team names from the provided data.
     """
-    return
+    unique_teams = set() 
+
+    for row in data:
+        if 'team_name' in row and row['team_name'] is not None:
+            unique_teams.add(row['team_name'])
+    return unique_teams
 
 def get_most_common_event_type(data):
     """
     Return the most common event type name from the provided data.
     """
-    return
+    event_types = [row['event_type_name'] for row in data if 'event_type_name' in row and row['event_type_name'] is not None]
+    if not event_types:
+        return None
+    return max(set(event_types), key=event_types.count)
+
 
 def filter_by_team(data, team_name):
     """
     Filter the data by the provided team name and return the filtered data.
     """
-    return
+    filtered_data = [row for row in data if 'team_name' in row and row['team_name'] == team_name and row['team_name'] is not None]
+    return filtered_data
+
+
 
 def count_event_type_by_team(data, team_name, event_type_name):
     """
     Count the number of events of a specific type for a given team.
     """
-    return
+    count = sum(1 for row in data if row['team_name'] == team_name and row['event_type_name'] == event_type_name)
+    return count
+
 
+
 def average_pass_length_by_team(data, team_name):
     """
-    Calculate the average pass length for the provided team to 1 decimal place
+    Calculate the average pass length for the provided team to 1 decimal place.
     """
-    return
+    pass_lengths = [float(row['pass_length']) for row in data if row['team_name'] == team_name and row['pass_length']]
+    if not pass_lengths:
+        return 0.0
+    average_length = round(sum(pass_lengths) / len(pass_lengths), 1)
+    return average_length
+
+
+
 
 def filter_players_by_position(data, position_name):
     """
     Return a list of player names who play at the provided position.
     """
-    return
+    players = {row['player_name'] for row in data if row['player_position_name'] == position_name}
+    return players
+
+
 
 def count_successful_passes(data):
     """
     Count the number of successful passes (not considering pass outcome).
     """
-    return
+    successful_passes = 0  
+    for i in range(len(data) - 1):
+        current_event = data[i]
+        next_event = data[i + 1]
+
+        if current_event["event_type_name"] == "Pass" and next_event["event_type_name"] == "Ball Receipt*":
+            successful_passes += 1
+
+    return successful_passes
+
+    # I can't figure this one out
+
 
 def filter_by_period(data, period):
     """
     Return a list of events that occurred in the provided period (e.g., 1 or 2).
     """
-    return
+    filtered_data = [row for row in data if row.get('period') == period]
+    return filtered_data
+
 
 def count_shots_by_player(data, player_name):
     """
     Count the number of shots taken by the provided player.
     """
-    return
+    shots = 0
+    index = set()  
+
+    for row in data:
+        if row["player_name"] == player_name and row["event_type_name"] == "Shot":
+            if row["index"] not in index:
+                index.add(row["index"])  
+                shots += 1
+
+    return shots