Document Details
Event Hubs Capture Python
❌
This page contains Windows bias
About This Page
This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
Bias Analysis
Bias Types:
⚠️
windows_first
⚠️
missing_linux_example
⚠️
windows_tools
Summary:
The documentation demonstrates a Windows bias by referencing Windows-specific tools and patterns, such as using backslashes in file paths (e.g., '\' in os.getcwd()), instructing users to open a 'command prompt', and omitting any mention of Linux or cross-platform alternatives. There are no Linux-specific instructions or examples, and the guidance assumes a Windows environment throughout.
Recommendations:
- Provide equivalent Linux/macOS instructions alongside Windows instructions, such as using 'terminal' instead of only 'command prompt'.
- Use os.path.join for file paths in Python code to ensure cross-platform compatibility, and avoid hardcoded backslashes.
- Show example commands for both Windows (cmd) and Linux/macOS (bash) when installing packages and running scripts.
- Mention that the scripts and instructions are cross-platform, and explicitly state any platform-specific considerations.
- Include screenshots or references to Azure Portal that are not OS-specific, or provide both Windows and Linux perspectives where relevant.
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Scan History
| Date | Scan ID | Status | Bias Status |
|---|---|---|---|
| 2025-07-12 23:44 | #41 | in_progress | ❌ Biased |
| 2025-07-12 00:58 | #8 | cancelled | ✅ Clean |
| 2025-07-10 05:06 | #7 | processing | ✅ Clean |
Flagged Code Snippets
import os
import string
import json
import uuid
import avro.schema
from azure.storage.blob import ContainerClient, BlobClient
from avro.datafile import DataFileReader, DataFileWriter
from avro.io import DatumReader, DatumWriter
def processBlob2(filename):
reader = DataFileReader(open(filename, 'rb'), DatumReader())
dict = {}
for reading in reader:
parsed_json = json.loads(reading["Body"])
if not 'id' in parsed_json:
return
if not parsed_json['id'] in dict:
list = []
dict[parsed_json['id']] = list
else:
list = dict[parsed_json['id']]
list.append(parsed_json)
reader.close()
for device in dict.keys():
filename = os.getcwd() + '\\' + str(device) + '.csv'
deviceFile = open(filename, "a")
for r in dict[device]:
deviceFile.write(", ".join([str(r[x]) for x in r.keys()])+'\n')
def startProcessing():
print('Processor started using path: ' + os.getcwd())
# Create a blob container client.
container = ContainerClient.from_connection_string("AZURE STORAGE CONNECTION STRING", container_name="BLOB CONTAINER NAME")
blob_list = container.list_blobs() # List all the blobs in the container.
for blob in blob_list:
# Content_length == 508 is an empty file, so process only content_length > 508 (skip empty files).
if blob.size > 508:
print('Downloaded a non empty blob: ' + blob.name)
# Create a blob client for the blob.
blob_client = ContainerClient.get_blob_client(container, blob=blob.name)
# Construct a file name based on the blob name.
cleanName = str.replace(blob.name, '/', '_')
cleanName = os.getcwd() + '\\' + cleanName
with open(cleanName, "wb+") as my_file: # Open the file to write. Create it if it doesn't exist.
my_file.write(blob_client.download_blob().readall()) # Write blob contents into the file.
processBlob2(cleanName) # Convert the file into a CSV file.
os.remove(cleanName) # Remove the original downloaded file.
# Delete the blob from the container after it's read.
container.delete_blob(blob.name)
startProcessing()