import re
import json
import csv


# === regex_compile_in_hot_path ===

def process_lines(lines):
    for line in lines:
        pattern = re.compile(r"\d+")
        if pattern.match(line):
            print(line)


# === json_loads_same_payload_multiple_times ===

def parse_config(raw_data):
    settings = json.loads(raw_data)
    defaults = json.loads(raw_data)
    return {**defaults, **settings}


# === repeated_json_dumps_same_object ===

def publish_event(event):
    serialized = json.dumps(event)
    log_payload = json.dumps(event)
    return serialized, log_payload


# === sorted_only_for_first_element ===

def get_smallest(values):
    return sorted(values)[0]


def get_largest(values):
    return sorted(values)[-1]


# === list_comprehension_only_for_length ===

def count_active(users):
    return len([u for u in users if u.is_active])


# === readlines_then_iterate ===

def load_log_file(path):
    with open(path) as f:
        lines = f.readlines()
    for line in lines:
        process(line)


def iterate_readlines(path):
    with open(path) as f:
        for line in f.readlines():
            process(line)


# === read_then_splitlines ===

def parse_manifest(path):
    with open(path) as f:
        lines = f.read().splitlines()
    return lines


# === in_check_on_list_literal ===

def check_status(status):
    if status in ["active", "pending", "review", "approved"]:
        return True
    return False


# === string_startswith_endswith_chain ===

def is_image_file(name):
    return name.endswith(".png") or name.endswith(".jpg") or name.endswith(".gif")


# === enumerate_on_range_len ===

def index_items(items):
    for i in range(len(items)):
        print(i, items[i])


def index_items_enumerate(items):
    for i, x in enumerate(range(len(items))):
        print(i, x)


# === csv_writer_flush_per_row ===

def export_rows(data, output_path):
    with open(output_path, "w") as f:
        writer = csv.writer(f)
        for row in data:
            writer.writerow(row)
            f.flush()


# === write_without_buffering_in_loop ===

def write_report(records, output_path):
    with open(output_path, "w") as f:
        for record in records:
            f.write(record.to_line())


# === repeated_open_same_file_in_function ===

def load_and_validate(config_path):
    with open(config_path) as f:
        raw = f.read()
    with open(config_path) as f:
        parsed = json.load(f)
    return raw, parsed


# === dict_items_or_keys_materialized_in_loop ===

def transform_entries(mapping):
    for key in range(10):
        all_keys = list(mapping.keys())
        if key in all_keys:
            print(key)


def process(line):
    pass
