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#!/usr/bin/env python3
from abc import ABC, abstractmethod
import typing
import sys
class DataProcessor(ABC):
def __init__(self, name: str) -> None:
self.storage: typing.List[typing.Any] = []
self.rank: int = 0
self.counter: int = 0
self.name = name
@abstractmethod
def validate(self, data: typing.Any) -> bool:
pass
@abstractmethod
def ingest(self, data: typing.Any) -> None:
pass
def output(self) -> tuple[int, str]:
# extract the oldest piece of data
# piece of data is removed
position = self.rank
self.rank += 1
if isinstance(self.storage[0], dict):
entry = self.storage[0]
output_tuple: tuple = tuple(entry.values())
to_return = (f"{output_tuple[0]}: {output_tuple[1]}")
self.storage.pop(0)
return position, to_return
to_return = self.storage[0]
self.storage.pop(0)
return position, to_return
class NumericProcessor(DataProcessor):
def validate(self, data: int | float | typing.List[int | float]) -> bool:
try:
if isinstance(data, int):
self.counter += 1
return True
elif isinstance(data, float):
self.counter += 1
return True
elif isinstance(data, typing.List):
type_list = "yes"
for item in data:
self.counter += 1
if not isinstance(item, int | float):
type_list = "no"
self.counter -= 1
if type_list == "yes":
return True
else:
raise ValueError()
else:
raise ValueError()
except ValueError:
return False
def ingest(self, data: int | float | typing.List[int | float]) -> None:
try:
if isinstance(data, typing.List):
for item in data:
if isinstance(item, int | float):
self.storage.append(item)
elif isinstance(data, int | float):
self.storage.append(data)
else:
raise ValueError()
except ValueError:
print("Improper numeric data", file=sys.stderr)
def is_number(s: str) -> bool:
try:
float(s)
return True
except (ValueError, TypeError):
return False
class TextProcessor(DataProcessor):
def validate(self, data: str | typing.List[str]) -> bool:
try:
if isinstance(data, str):
if is_number(data):
raise ValueError()
else:
self.counter += 1
return True
elif isinstance(data, typing.List):
for item in data:
if isinstance(item, str):
if is_number(item):
raise ValueError()
return False
else:
self.counter += 1
if isinstance(item, dict):
raise ValueError()
return False
return True
else:
raise ValueError()
except ValueError:
return False
def ingest(self, data: str | typing.List[str]) -> None:
try:
if isinstance(data, str):
self.storage.append(data)
elif isinstance(data, typing.List):
for item in data:
if is_number(item):
raise ValueError()
elif isinstance(item, dict):
raise ValueError()
else:
self.storage.append(item)
else:
raise ValueError()
except ValueError:
print("Improper text data", file=sys.stderr)
class LogProcessor(DataProcessor):
def validate(self, data: dict | typing.List[dict]) -> bool:
try:
if isinstance(data, dict):
return True
if isinstance(data, typing.List):
for item in data:
if isinstance(item, dict):
self.counter += 1
else:
raise ValueError()
return False
return True
else:
raise ValueError()
except ValueError:
return False
def ingest(self, data: dict | typing.List[dict]) -> None:
try:
if isinstance(data, dict):
for item in data:
self.storage.append(item)
elif isinstance(data, typing.List):
for item in data:
if isinstance(item, dict):
self.storage.append(item)
else:
raise ValueError()
except ValueError:
print("Improper log data", file=sys.stderr)
class DataStream():
def __init__(self) -> None:
self.processor: list = []
self.counter: int = 0
def register_processor(self, proc: DataProcessor) -> None:
# method that allows you to register a new data processor to process
# the data stream.
self.processor.append(proc)
def process_stream(self, stream: list[typing.Any]) -> None:
# method that will analyze each element of the list received as a
# parameter and send it to the appropriate registered data processor.
# Error messages will be printed if no data processor can handle an
# element
for item in stream:
try:
for processor in self.processor:
# route towards appropriate processors
if processor.validate(item):
processor.ingest(item)
# stop when appropriate processors is found
break
else:
raise ValueError()
except ValueError:
print(f"Data Stream Error - Can't process "
f"element in stream: {item}", file=sys.stderr)
def print_processors_stats(self) -> None:
if self.processor == []:
print("No processor found, no data")
else:
for processor in self.processor:
remaining = len(processor.storage)
print(f"{processor.name}: total {processor.counter} items "
f"processed, remaining {remaining} on processor")
def consume_processors(self, rm_1: int, rm_2: int, rm_3: int) -> None:
for processor in self.processor:
if processor.name == "Numeric Processor":
for _ in range(rm_1):
processor.output()
elif processor.name == "Text Processor":
for _ in range(rm_2):
processor.output()
elif processor.name == "Log Processor":
for _ in range(rm_3):
processor.output()
def main() -> None:
# Create a test scenario that demonstrates the correct processing of a data
# stream. Display statistics on registered data processors, consume
# elements using the output method of each data processor and show updated
# statistics
print("=== Code Nexus - Data Stream ===")
print()
print("Initialize Data Stream...")
print()
processors = DataStream()
print("=== DataStream statistic ===")
processors.print_processors_stats()
print()
# initialize processors
is_num = NumericProcessor("Numeric Processor")
print("Registering Numeric Processor")
print()
processors.register_processor(is_num)
batch_one = ['Hello world',
[3.14, -1, 2.71],
[{
'log_level': 'WARNING',
' log_message': 'Telnet access! Use ssh instead'
},
{
'log_level': 'INFO',
'log_message': 'User wil is connected'
}],
42,
['Hi', 'five']]
print(f"Sending first batch of data on stream: {batch_one}")
processors.process_stream(batch_one)
print()
print("=== DataStream statistic ===")
processors.print_processors_stats()
print()
print("Registering other data processors")
is_text = TextProcessor("Text Processor")
is_log = LogProcessor("Log Processor")
processors.register_processor(is_text)
processors.register_processor(is_log)
print()
print("Send the same batch again")
processors.process_stream(batch_one)
print()
print("=== DataStream statistic ===")
processors.print_processors_stats()
print()
consume_num = 3
consume_text = 2
consume_log = 1
print(f"Consume some elements from the data processors:"
f" Numeric {consume_num}, Text {consume_text}, Log {consume_log}")
processors.consume_processors(consume_num, consume_text, consume_log)
print("=== DataStream statistic ===")
processors.print_processors_stats()
if __name__ == "__main__":
main()
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