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Bench web/infrastructure #3

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@gitworkflows gitworkflows commented Nov 6, 2024

PR Type

enhancement, configuration changes, documentation


Description

  • Added multiple Dockerfiles for setting up benchmarking and database environments, including PostgreSQL, MySQL, and MongoDB.
  • Implemented various Python classes and scripts for managing and verifying benchmark tests, including test types for JSON, plaintext, and database benchmarks.
  • Added shell scripts for managing Docker services, benchmarking pipelines, and Vagrant environment setup.
  • Introduced configuration files for database performance tuning and benchmarking settings.
  • Added README files for Vagrant development environment setup and pre-benchmark instructions.

Changes walkthrough 📝

Relevant files
Configuration changes
13 files
wrk.dockerfile
Add Dockerfile for benchmarking with wrk on Ubuntu             

benchmarks/load-testing/wrk/wrk.dockerfile

  • Added a Dockerfile for benchmarking using Ubuntu 24.04 as the base
    image.
  • Included scripts for concurrency and pipeline benchmarking.
  • Installed necessary packages like curl and wrk.
  • Set environment variables for benchmarking scripts.
  • +21/-0   
    postgres.dockerfile
    Add Dockerfile for PostgreSQL database setup                         

    infrastructure/docker/databases/postgres/postgres.dockerfile

  • Added Dockerfile for PostgreSQL setup using version 17-bookworm.
  • Configured environment variables for PostgreSQL database.
  • Copied configuration and initialization scripts into the Docker image.

  • +12/-0   
    mysql.dockerfile
    Add Dockerfile for MySQL database setup                                   

    infrastructure/docker/databases/mysql/mysql.dockerfile

  • Added Dockerfile for MySQL setup using version 9.0.
  • Configured environment variables for MySQL database.
  • Copied configuration and initialization scripts into the Docker image.

  • +11/-0   
    mongodb.dockerfile
    Add Dockerfile for MongoDB database setup                               

    infrastructure/docker/databases/mongodb/mongodb.dockerfile

  • Added Dockerfile for MongoDB setup using version 7.0.
  • Configured environment variable for MongoDB database.
  • Copied initialization script into the Docker image.
  • +5/-0     
    Dockerfile
    Add Dockerfile for BW environment setup                                   

    infrastructure/docker/Dockerfile

  • Added Dockerfile for building the BW environment.
  • Installed necessary packages and Python dependencies.
  • Configured user and group settings for Docker container.
  • +61/-0   
    60-postgresql-shm.conf
    Add PostgreSQL shared memory configuration                             

    infrastructure/docker/databases/postgres/60-postgresql-shm.conf

    • Added configuration file for PostgreSQL shared memory settings.
    +2/-0     
    .siegerc
    Add Siege configuration file for performance testing         

    infrastructure/docker/databases/.siegerc

  • Added a comprehensive Siege configuration file with various settings
    for performance testing.
  • Configured options for verbosity, logging, HTTP methods, and
    connection limits.
  • Included directives for caching, user-agent, and SSL settings.
  • Set default values for benchmarking, concurrency, and internet
    simulation.
  • +624/-0 
    my.cnf
    Add MySQL configuration file with performance tuning         

    infrastructure/docker/databases/mysql/my.cnf

  • Added MySQL configuration file with client and server settings.
  • Configured basic settings like storage engine, character set, and
    collation.
  • Included fine-tuning parameters for performance optimization.
  • Set InnoDB and query cache configurations.
  • +82/-0   
    postgresql.conf
    Add PostgreSQL configuration file with performance settings

    infrastructure/docker/databases/postgres/postgresql.conf

  • Added PostgreSQL configuration file with server settings.
  • Configured connection, memory, and WAL settings for performance.
  • Included settings for cache size and query tracking.
  • +35/-0   
    bw.service
    Add systemd service file for BenchWeb management                 

    infrastructure/docker/services/bw.service

  • Added systemd service file for BenchWeb service management.
  • Configured environment variables and execution commands.
  • Set user, group, and resource limits for the service.
  • +37/-0   
    Vagrantfile
    Add Vagrantfile for VM setup and provisioning                       

    infrastructure/vagrant/Vagrantfile

  • Added Vagrantfile for virtual machine configuration.
  • Configured network settings and port forwarding.
  • Included provisioning scripts and provider settings.
  • +33/-0   
    benchmark_config.json
    Add JSON configuration for benchmark test settings             

    benchmarks/pre-benchmarks/benchmark_config.json

  • Added JSON configuration file for benchmark settings.
  • Defined test parameters including URLs, ports, and frameworks.
  • Included placeholders for dynamic values like database and language.
  • +26/-0   
    60-database-shm.conf
    Add shared memory configuration for MySQL                               

    infrastructure/docker/databases/mysql/60-database-shm.conf

  • Added shared memory configuration for MySQL.
  • Set kernel parameters for shared memory limits.
  • +2/-0     
    Enhancement
    31 files
    verifications.py
    Implement verification logic for benchmark tests                 

    benchmarks/verifications.py

  • Added a Python script for verifying benchmark test results.
  • Implemented functions for verifying response bodies and headers.
  • Included functions for verifying JSON objects and database updates.
  • Added utility functions for query verification and result display.
  • +474/-0 
    benchmarker.py
    Implement benchmark management and execution logic             

    benchmarks/benchmarker.py

  • Added a Python class for managing benchmark tests.
  • Implemented methods for running and stopping tests.
  • Included logic for handling Docker containers and logging results.
  • Added functionality for parsing and uploading benchmark results.
  • +350/-0 
    fortune_html_parser.py
    Add HTML parser for fortune test verification                       

    benchmarks/fortune/fortune_html_parser.py

  • Added an HTML parser for verifying fortune test outputs.
  • Implemented methods for handling HTML tags and character references.
  • Included logic for comparing parsed output with expected results.
  • +189/-0 
    framework_test.py
    Implement framework test management and verification         

    benchmarks/framework_test.py

  • Added a Python class for managing framework tests.
  • Implemented methods for starting tests and verifying URLs.
  • Included logic for handling test results and logging.
  • +189/-0 
    abstract_test_type.py
    Define abstract base class for test types                               

    benchmarks/abstract_test_type.py

  • Added an abstract base class for test types.
  • Defined methods for parsing configuration and verifying tests.
  • Included utility functions for handling HTTP requests and responses.
  • +132/-0 
    fortune.py
    Implement fortune benchmark test type                                       

    benchmarks/fortune/fortune.py

  • Added a test type class for fortune benchmarks.
  • Implemented verification logic using the FortuneHTMLParser.
  • Included methods for retrieving script names and variables.
  • +123/-0 
    abstract_database.py
    Define abstract base class for database interactions         

    infrastructure/docker/databases/abstract_database.py

  • Added an abstract base class for database interactions.
  • Defined methods for database connection and query verification.
  • Included logic for resetting query cache and retrieving statistics.
  • +115/-0 
    db.py
    Implement database benchmark test type                                     

    benchmarks/db/db.py

  • Added a test type class for database benchmarks.
  • Implemented verification logic for JSON responses.
  • Included methods for retrieving script names and variables.
  • +94/-0   
    postgres.py
    Implement PostgreSQL database interaction logic                   

    infrastructure/docker/databases/postgres/postgres.py

  • Added a Python class for PostgreSQL database interactions.
  • Implemented methods for connecting to the database and retrieving
    data.
  • Included logic for query verification and cache reset.
  • +84/-0   
    mongodb.py
    Implement MongoDB database interaction logic                         

    infrastructure/docker/databases/mongodb/mongodb.py

  • Added a Python class for MongoDB database interactions.
  • Implemented methods for connecting to the database and retrieving
    data.
  • Included logic for query verification and cache reset.
  • +82/-0   
    mysql.py
    Implement MySQL database interaction logic                             

    infrastructure/docker/databases/mysql/mysql.py

  • Added a Python class for MySQL database interactions.
  • Implemented methods for connecting to the database and retrieving
    data.
  • Included logic for query verification and cache reset.
  • +85/-0   
    plaintext.py
    Implement plaintext benchmark test type                                   

    benchmarks/plaintext/plaintext.py

  • Added a test type class for plaintext benchmarks.
  • Implemented verification logic for plaintext responses.
  • Included methods for retrieving script names and variables.
  • +80/-0   
    cached-query.py
    Implement cached query benchmark test type                             

    benchmarks/cached-query/cached-query.py

  • Added a test type class for cached query benchmarks.
  • Implemented verification logic for JSON array responses.
  • Included methods for retrieving script names and variables.
  • +67/-0   
    query.py
    Implement query benchmark test type                                           

    benchmarks/query/query.py

  • Added a test type class for query benchmarks.
  • Implemented verification logic for JSON array responses.
  • Included methods for retrieving script names and variables.
  • +66/-0   
    update.py
    Implement update benchmark test type                                         

    benchmarks/update/update.py

  • Added a test type class for update benchmarks.
  • Implemented verification logic for JSON array responses.
  • Included methods for retrieving script names and variables.
  • +65/-0   
    json.py
    Implement JSON benchmark test type                                             

    benchmarks/json/json.py

  • Added a test type class for JSON benchmarks.
  • Implemented verification logic for JSON object responses.
  • Included methods for retrieving script names and variables.
  • +68/-0   
    __init__.py
    Add initialization script for database modules                     

    infrastructure/docker/databases/init.py

  • Added initialization script for loading database modules.
  • Implemented logic for dynamically importing database classes.
  • Included checks for required methods in database classes.
  • +29/-0   
    __init__.py
    Add initialization script for benchmark test types             

    benchmarks/init.py

  • Added initialization script for loading benchmark test types.
  • Implemented logic for dynamically importing test type classes.
  • +20/-0   
    create.js
    Add MongoDB database creation script                                         

    infrastructure/docker/databases/mongodb/create.js

  • Added MongoDB script for creating and populating databases.
  • Included logic for creating indexes on collections.
  • +25/-0   
    pipeline.sh
    Add shell script for pipeline benchmarks                                 

    benchmarks/load-testing/wrk/pipeline.sh

  • Added shell script for running pipeline benchmarks with wrk.
  • Implemented logic for varying concurrency levels.
  • +35/-0   
    concurrency.sh
    Add shell script for concurrency benchmarks                           

    benchmarks/load-testing/wrk/concurrency.sh

  • Added shell script for running concurrency benchmarks with wrk.
  • Implemented logic for varying concurrency levels.
  • +35/-0   
    query.sh
    Add shell script for query benchmarks                                       

    benchmarks/load-testing/wrk/query.sh

  • Added shell script for running query benchmarks with wrk.
  • Implemented logic for varying query levels.
  • +35/-0   
    bw-startup.sh
    Add startup script for BW services                                             

    infrastructure/docker/services/bw-startup.sh

  • Added shell script for starting BW services.
  • Implemented logic for cloning repository and building Docker image.
  • Included commands for running Docker container and uploading results.
  • +61/-0   
    bootstrap.sh
    Add bootstrap script for Vagrant environment                         

    infrastructure/vagrant/bootstrap.sh

  • Added shell script for bootstrapping Vagrant environment.
  • Implemented logic for installing Docker and setting up environment.
  • +48/-0   
    bw-shutdown.sh
    Add shutdown script for BW services                                           

    infrastructure/docker/services/bw-shutdown.sh

  • Added shell script for shutting down BW services.
  • Implemented logic for cleaning up Docker containers and disk space.
  • +33/-0   
    entry.sh
    Add entry script for Docker container                                       

    infrastructure/docker/entry.sh

  • Added entry script for Docker container execution.
  • Implemented logic for setting permissions and running tests.
  • +7/-0     
    config.sh
    Add configuration script for PostgreSQL                                   

    infrastructure/docker/databases/postgres/config.sh

  • Added shell script for configuring PostgreSQL settings.
  • Implemented logic for appending custom configuration.
  • +5/-0     
    core.rb
    Add Vagrant provider configuration script                               

    infrastructure/vagrant/core.rb

  • Added Ruby script for configuring Vagrant providers.
  • Implemented logic for setting up VirtualBox and LibVirt providers.
  • +65/-0   
    pipeline.lua
    Add Lua script for wrk pipeline benchmarking                         

    benchmarks/load-testing/wrk/pipeline.lua

  • Added Lua script for wrk pipeline benchmarking.
  • Implemented logic for initializing and sending requests.
  • +12/-0   
    create-postgres.sql
    Add PostgreSQL database creation script                                   

    infrastructure/docker/databases/postgres/create-postgres.sql

  • Added SQL script for creating and populating PostgreSQL databases.
  • Implemented logic for creating tables and inserting data.
  • +65/-0   
    create.sql
    Add MySQL database creation script                                             

    infrastructure/docker/databases/mysql/create.sql

  • Added SQL script for creating and populating MySQL databases.
  • Implemented logic for creating tables and inserting data.
  • +70/-0   
    Miscellaneous
    1 files
    custom_motd.sh
    Add placeholder for custom MOTD script                                     

    infrastructure/vagrant/custom_motd.sh

    • Added placeholder script for custom message of the day.
    +1/-0     
    Documentation
    2 files
    README.md
    Add README for Vagrant development environment setup         

    infrastructure/vagrant/README.md

  • Added README for setting up Vagrant development environment.
  • Included instructions for launching and using the environment.
  • +93/-0   
    README.md
    Add README for pre-benchmark setup instructions                   

    benchmarks/pre-benchmarks/README.md

  • Added README for pre-benchmark setup instructions.
  • Included steps for configuring and testing new benchmarks.
  • +93/-0   

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    sourcery-ai bot commented Nov 6, 2024

    Reviewer's Guide by Sourcery

    This pull request sets up the core infrastructure and benchmarking framework for web performance testing. It includes Docker configurations, database setup scripts, test implementations, and verification utilities.

    ER diagram for database setup

    erDiagram
        WORLD {
            int id PK
            int randomNumber
        }
        FORTUNE {
            int id PK
            varchar message
        }
        WORLD ||--o{ FORTUNE : contains
        FORTUNE ||--o{ WORLD : contains
    
    Loading

    Class diagram for Benchmarker and FrameworkTest

    classDiagram
        class Benchmarker {
            -config
            -time_logger
            -metadata
            -audit
            -tests
            -results
            -docker_helper
            -last_test
            +run()
            +stop(signal, frame)
        }
        class FrameworkTest {
            -name
            -directory
            -benchmarker
            -runTests
            -approach
            -classification
            -database
            -framework
            -language
            -orm
            -platform
            -webserver
            -os
            -database_os
            -display_name
            -notes
            -port
            -versus
            +start()
            +is_accepting_requests()
            +verify_urls()
        }
        Benchmarker --> FrameworkTest : uses
    
    Loading

    File-Level Changes

    Change Details Files
    Set up Docker infrastructure for running benchmarks
    • Created Dockerfile for building the benchmark environment
    • Added entry script for running tests
    • Configured Docker services and startup/shutdown scripts
    infrastructure/docker/Dockerfile
    infrastructure/docker/entry.sh
    infrastructure/docker/services/bw-startup.sh
    infrastructure/docker/services/bw-shutdown.sh
    Implemented core benchmarking test types and verification logic
    • Added abstract test type base class
    • Created implementations for JSON, Plaintext, DB, Query, Cached Query, Update and Fortune test types
    • Added verification utilities for validating test responses
    benchmarks/abstract_test_type.py
    benchmarks/json/json.py
    benchmarks/plaintext/plaintext.py
    benchmarks/db/db.py
    benchmarks/query/query.py
    benchmarks/cached-query/cached-query.py
    benchmarks/update/update.py
    benchmarks/fortune/fortune.py
    benchmarks/verifications.py
    Set up database infrastructure for benchmark tests
    • Added abstract database interface
    • Implemented MySQL, PostgreSQL and MongoDB database adapters
    • Created database initialization scripts and configurations
    infrastructure/docker/databases/abstract_database.py
    infrastructure/docker/databases/mysql/mysql.py
    infrastructure/docker/databases/postgres/postgres.py
    infrastructure/docker/databases/mongodb/mongodb.py
    infrastructure/docker/databases/mysql/create.sql
    infrastructure/docker/databases/postgres/create-postgres.sql
    infrastructure/docker/databases/mongodb/create.js
    Added load testing infrastructure using wrk benchmarking tool
    • Created wrk Docker configuration
    • Added benchmark scripts for different test scenarios
    • Implemented pipeline and query load testing scripts
    benchmarks/load-testing/wrk/wrk.dockerfile
    benchmarks/load-testing/wrk/concurrency.sh
    benchmarks/load-testing/wrk/pipeline.sh
    benchmarks/load-testing/wrk/query.sh
    benchmarks/load-testing/wrk/pipeline.lua
    Set up Vagrant development environment
    • Created Vagrantfile for VM configuration
    • Added bootstrap script for environment setup
    • Configured VM providers for VirtualBox and LibVirt
    infrastructure/vagrant/Vagrantfile
    infrastructure/vagrant/bootstrap.sh
    infrastructure/vagrant/core.rb

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    Hey @gitworkflows - I've reviewed your changes - here's some feedback:

    Overall Comments:

    • Consider extracting common test verification logic into shared utility functions to reduce code duplication between test type implementations
    Here's what I looked at during the review
    • 🟢 General issues: all looks good
    • 🟢 Security: all looks good
    • 🟢 Testing: all looks good
    • 🟡 Complexity: 1 issue found
    • 🟡 Documentation: 1 issue found

    Sourcery is free for open source - if you like our reviews please consider sharing them ✨
    Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.

    Comment on lines +35 to +39
    6. Fix this `README.md` and open a pull request

    Starting on line 49 is your actual `README.md` that will sit with your test implementation. Update all the dummy values to their correct values so that when people visit your test in our Github repository, they will be greated with information on how your test implementation works and where to look for useful source code.

    After you have the real `README.md` file in place, delete everything above line 59 and you are ready to open a pull request.
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    issue (documentation): Found typo: 'greated' should be 'greeted'

    return problems


    def verify_updates(old_worlds, new_worlds, updates_expected, url):
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    issue (complexity): Consider extracting database validation logic into a dedicated DatabaseValidator class to improve separation of concerns.

    The verification logic can be simplified by extracting database validation into a focused DatabaseValidator class. This separates concerns while maintaining functionality:

    class DatabaseValidator:
        def __init__(self, database, config):
            self.database = database
            self.config = config
    
        def verify_updates(self, old_worlds, new_worlds, updates_expected):
            successful_updates = 0
            for entry_id in range(1, 10001):
                str_id = str(entry_id)
                if (str_id in old_worlds[0] and str_id in new_worlds[0] and 
                    old_worlds[0][str_id] != new_worlds[0][str_id]):
                    successful_updates += 1
    
            if successful_updates == 0:
                return [("fail", "No items were updated")]
            if successful_updates <= (updates_expected * 0.90):
                return [("fail", f"Only {successful_updates} items updated out of {updates_expected}")]
            return []
    
        def verify_query_metrics(self, table, queries, rows, expected_queries, expected_rows):
            problems = []
            if queries > expected_queries * 1.05:
                problems.append(("warn", f"Excessive queries: {queries} vs expected {expected_queries}"))
            elif queries < expected_queries:
                problems.append(("fail", f"Too few queries: {queries} vs expected {expected_queries}"))
            # Add similar validation for rows
            return problems

    This allows the main verification code to focus on HTTP/JSON validation while delegating database checks:

    def verify_query_cases(self, cases, url, check_updates=False):
        problems = []
        db_validator = DatabaseValidator(self.database, self.config)
    
        if check_updates:
            world_db_before = databases[self.database.lower()].get_current_world_table(self.config)
    
        for query, max_infraction in cases:
            problems.extend(self._verify_single_query(query, url, max_infraction))
    
            if check_updates and int(query) >= 500:
                world_db_after = databases[self.database.lower()].get_current_world_table(self.config)
                problems.extend(db_validator.verify_updates(world_db_before, world_db_after, 500))
    
        return problems

    This improves maintainability by:

    1. Separating database validation concerns
    2. Reducing nesting depth
    3. Making the validation flow easier to follow
    4. Enabling focused testing of database validation logic

    @@ -0,0 +1,25 @@
    db = db.getSiblingDB('hello_world')
    db.world.drop()
    for (var i = 1; i <= 10000; i++) {
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    issue (code-quality): Use const or let instead of var. (avoid-using-var)

    Explanation`const` is preferred as it ensures you cannot reassign references (which can lead to buggy and confusing code). `let` may be used if you need to reassign references - it's preferred to `var` because it is block- rather than function-scoped.

    From the Airbnb JavaScript Style Guide

    Comment on lines +180 to +181
    raise Exception(
    "Unknown error - test did not pass,warn,or fail")
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    issue (code-quality): Raise a specific error instead of the general Exception or BaseException (raise-specific-error)

    ExplanationIf a piece of code raises a specific exception type rather than the generic [`BaseException`](https://docs.python.org/3/library/exceptions.html#BaseException) or [`Exception`](https://docs.python.org/3/library/exceptions.html#Exception), the calling code can:
    • get more information about what type of error it is
    • define specific exception handling for it

    This way, callers of the code can handle the error appropriately.

    How can you solve this?

    So instead of having code raising Exception or BaseException like

    if incorrect_input(value):
        raise Exception("The input is incorrect")

    you can have code raising a specific error like

    if incorrect_input(value):
        raise ValueError("The input is incorrect")

    or

    class IncorrectInputError(Exception):
        pass
    
    
    if incorrect_input(value):
        raise IncorrectInputError("The input is incorrect")

    Comment on lines +289 to +291
    if entry_id in old_worlds[n] and entry_id in new_worlds[n]:
    if old_worlds[n][entry_id] != new_worlds[n][entry_id]:
    successful_updates += 1
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    suggestion (code-quality): Merge nested if conditions (merge-nested-ifs)

    Suggested change
    if entry_id in old_worlds[n] and entry_id in new_worlds[n]:
    if old_worlds[n][entry_id] != new_worlds[n][entry_id]:
    successful_updates += 1
    if entry_id in old_worlds[n] and entry_id in new_worlds[n] and old_worlds[n][entry_id] != new_worlds[n][entry_id]:
    successful_updates += 1


    ExplanationToo much nesting can make code difficult to understand, and this is especially
    true in Python, where there are no brackets to help out with the delineation of
    different nesting levels.

    Reading deeply nested code is confusing, since you have to keep track of which
    conditions relate to which levels. We therefore strive to reduce nesting where
    possible, and the situation where two if conditions can be combined using
    and is an easy win.


    # json_url should be at least "/json"
    if len(self.json_url) < 5:
    problems.append(
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    issue (code-quality): We've found these issues:

    Comment on lines +53 to +67
    'max_concurrency':
    max(self.config.concurrency_levels),
    'name':
    name,
    'duration':
    self.config.duration,
    'levels':
    " ".join(
    "{}".format(item) for item in self.config.concurrency_levels),
    'server_host':
    self.config.server_host,
    'url':
    url,
    'accept':
    "application/json,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,*/*;q=0.7"
    Copy link

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    suggestion (code-quality): Replace call to format with f-string (use-fstring-for-formatting)

    Suggested change
    'max_concurrency':
    max(self.config.concurrency_levels),
    'name':
    name,
    'duration':
    self.config.duration,
    'levels':
    " ".join(
    "{}".format(item) for item in self.config.concurrency_levels),
    'server_host':
    self.config.server_host,
    'url':
    url,
    'accept':
    "application/json,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,*/*;q=0.7"
    'max_concurrency': max(self.config.concurrency_levels),
    'name': name,
    'duration': self.config.duration,
    'levels': " ".join(
    f"{item}" for item in self.config.concurrency_levels
    ),
    'server_host': self.config.server_host,
    'url': url,
    'accept': "application/json,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,*/*;q=0.7",


    # plaintext_url should be at least "/plaintext"
    if len(self.plaintext_url) < 10:
    problems.append(
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    issue (code-quality): We've found these issues:

    Comment on lines +63 to +79
    'max_concurrency':
    max(self.config.concurrency_levels),
    'name':
    name,
    'duration':
    self.config.duration,
    'levels':
    " ".join("{}".format(item)
    for item in self.config.pipeline_concurrency_levels),
    'server_host':
    self.config.server_host,
    'url':
    url,
    'pipeline':
    16,
    'accept':
    "text/plain,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,*/*;q=0.7"
    Copy link

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    The reason will be displayed to describe this comment to others. Learn more.

    suggestion (code-quality): Replace call to format with f-string (use-fstring-for-formatting)

    Suggested change
    'max_concurrency':
    max(self.config.concurrency_levels),
    'name':
    name,
    'duration':
    self.config.duration,
    'levels':
    " ".join("{}".format(item)
    for item in self.config.pipeline_concurrency_levels),
    'server_host':
    self.config.server_host,
    'url':
    url,
    'pipeline':
    16,
    'accept':
    "text/plain,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,*/*;q=0.7"
    'max_concurrency': max(self.config.concurrency_levels),
    'name': name,
    'duration': self.config.duration,
    'levels': " ".join(
    f"{item}" for item in self.config.pipeline_concurrency_levels
    ),
    'server_host': self.config.server_host,
    'url': url,
    'pipeline': 16,
    'accept': "text/plain,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,*/*;q=0.7",

    Comment on lines +38 to +40
    ("fail",
    "Route for queries must be at least 9 characters, found '{}' instead".format(self.query_url),
    url))
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    suggestion (code-quality): Replace call to format with f-string (use-fstring-for-formatting)

    Suggested change
    ("fail",
    "Route for queries must be at least 9 characters, found '{}' instead".format(self.query_url),
    url))
    (
    "fail",
    f"Route for queries must be at least 9 characters, found '{self.query_url}' instead",
    url,
    )
    )

    Copy link

    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪
    🧪 No relevant tests
    🔒 Security concerns

    SQL injection:
    In benchmarks/verifications.py, the verify_updates function uses string formatting to construct SQL queries. This could potentially lead to SQL injection if the input is not properly sanitized. The implementation should be reviewed to ensure all inputs are properly validated and parameterized queries are used where appropriate.

    ⚡ Recommended focus areas for review

    Performance Concern
    The benchmarker sleeps for 60 seconds after each test, which may significantly increase total benchmark time. Consider if this delay can be reduced.

    Security Concern
    The verify_updates function uses string formatting to construct SQL queries, which could potentially lead to SQL injection if not properly sanitized. Review the implementation to ensure proper input validation.

    Error Handling
    The get_current_world_table method catches all exceptions and only logs them. Consider if some exceptions should be re-raised or handled differently.

    Copy link

    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Score
    Enhancement
    Use a dictionary for mapping character references to improve code maintainability and extensibility

    Consider using a dictionary to map character references to their normalized forms in
    the handle_charref method, which would make the code more maintainable and easier to
    extend.

    benchmarks/fortune/fortune_html_parser.py [46-96]

    +CHAR_REF_MAP = {
    +    "34": "&quot;", "034": "&quot;", "x22": "&quot;",
    +    "39": "&apos;", "039": "&apos;", "x27": "&apos;",
    +    "43": "+", "043": "+", "x2b": "+",
    +    # ... (add more mappings)
    +}
    +
     def handle_charref(self, name):
         val = name.lower()
    -    if val == "34" or val == "034" or val == "x22":
    -        self.body.append("&quot;")
    -    if val == "39" or val == "039" or val == "x27":
    -        self.body.append("&apos;")
    -    if val == "43" or val == "043" or val == "x2b":
    -        self.body.append("+")
    -    # ... (more conditions)
    +    if val in self.CHAR_REF_MAP:
    +        self.body.append(self.CHAR_REF_MAP[val])
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: Using a dictionary for character reference mapping significantly improves code maintainability and makes it easier to extend the parser with new character references in the future.

    8
    Add error handling for critical operations to improve script robustness

    Consider adding error handling for the chown command to ensure the script fails
    gracefully if the operation is unsuccessful.

    infrastructure/docker/entry.sh [5]

    -chown -LR "$USER_ID" /var/run
    +if ! chown -LR "$USER_ID" /var/run; then
    +  echo "Failed to change ownership of /var/run" >&2
    +  exit 1
    +fi
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: This suggestion significantly improves the script's error handling, which is crucial for maintaining system stability and providing clear error messages.

    8
    Simplify the body verification function using more pythonic constructs

    Consider using a more pythonic approach for the basic_body_verification function by
    utilizing the dict.get() method with a default value instead of checking for key
    existence explicitly.

    benchmarks/verifications.py [15-42]

     def basic_body_verification(body, url, is_json_check=True):
    -    # Empty Response?
    -    if body is None:
    -        return None, [('fail', 'No response', url)]
    -    elif len(body) == 0:
    -        return None, [('fail', 'Empty response', url)]
    +    if not body:
    +        return None, [('fail', 'No response' if body is None else 'Empty response', url)]
     
    -    # Valid JSON?
         if is_json_check:
             try:
    -            response = json.loads(body)
    -            return response, []
    +            return json.loads(body), []
             except ValueError as ve:
    -            return None, [('fail', 'Invalid JSON: %s' % ve, url)]
    +            return None, [('fail', f'Invalid JSON: {ve}', url)]
     
    -    # Fortunes and Plaintext only use this for the empty response tests
    -    # they do not need or expect a dict back
         return None, []
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: The suggested changes make the function more concise and pythonic, improving readability and potentially reducing the likelihood of errors.

    7
    Use a more reliable method to determine the maximum number of available CPU threads

    Consider using a more robust method for determining the maximum number of threads,
    such as nproc --all or grep -c ^processor /proc/cpuinfo, to ensure accurate results
    across different systems.

    benchmarks/load-testing/wrk/concurrency.sh [3]

    -let max_threads=$(nproc)
    +max_threads=$(nproc --all || grep -c ^processor /proc/cpuinfo)
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: The suggestion improves the robustness of determining the maximum thread count by providing a fallback option, which is valuable for cross-system compatibility and reliability.

    7
    Use a more concise and efficient method to check for test failures

    Consider using a more efficient method to check if any test failed, such as the
    any() function with a generator expression, instead of iterating through all tests
    and setting a flag.

    benchmarks/framework_test.py [183-189]

    -result = True
     for test_type in self.runTests:
         verify_type(test_type)
    -    if self.runTests[test_type].failed:
    -        result = False
     
    -return result
    +return not any(self.runTests[test_type].failed for test_type in self.runTests)
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: The suggested change uses a more pythonic and efficient approach to check for test failures, improving code readability and potentially performance.

    6
    Performance
    Implement connection pooling for MySQL to improve performance and resource management

    Consider using a connection pool for MySQL connections to improve performance and
    resource management.

    infrastructure/docker/databases/mysql/mysql.py [15-17]

     @classmethod
     def get_connection(cls, config):
    -    return MySQLdb.connect(config.database_host, "benchmarkdbuser",
    -                             "benchmarkdbpass", "hello_world")
    +    if not hasattr(cls, 'pool'):
    +        cls.pool = MySQLdb.connect(
    +            host=config.database_host,
    +            user="benchmarkdbuser",
    +            passwd="benchmarkdbpass",
    +            db="hello_world",
    +            pool_size=5
    +        )
    +    return cls.pool.get_connection()
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: Implementing connection pooling for MySQL can significantly improve performance and resource management by reusing connections instead of creating new ones for each request.

    8
    Use lazy connection initialization for MongoDB client to improve performance

    Consider using a context manager for the MongoDB client connection to ensure proper
    resource management and automatic closing of the connection.

    infrastructure/docker/databases/mongodb/mongodb.py [13-14]

     @classmethod
     def get_connection(cls, config):
    -    return pymongo.MongoClient(host = config.database_host)
    +    return pymongo.MongoClient(host=config.database_host, connect=False)
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: Using lazy connection initialization (connect=False) can improve performance by deferring the actual connection until it's needed. This is especially useful in scenarios where the connection might not always be used.

    6
    Optimize random number generation in SQL insert statements for better performance

    Consider using a more efficient method for generating random numbers in the INSERT
    statements, such as using PostgreSQL's built-in random() function directly in the
    VALUES clause.

    infrastructure/docker/databases/postgres/create-postgres.sql [12-13]

     INSERT INTO World (id, randomnumber)
    -SELECT x.id, least(floor(random() * 10000 + 1), 10000) FROM generate_series(1,10000) as x(id);
    +SELECT id, (random() * 9999 + 1)::int
    +FROM generate_series(1, 10000) id;
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: The suggestion offers a potential performance improvement for random number generation, which could be beneficial for large-scale insertions. However, the impact may vary depending on the specific use case.

    6
    Best practice
    Use a context manager for safer file handling and resource management

    Consider using a context manager for file handling in the run method to ensure
    proper file closure, even if an exception occurs.

    benchmarks/benchmarker.py [65-75]

    -with open(os.path.join(self.results.directory, 'benchmark.log'),
    -          'w') as benchmark_log:
    +from contextlib import ExitStack
    +
    +with ExitStack() as stack:
    +    benchmark_log = stack.enter_context(open(os.path.join(self.results.directory, 'benchmark.log'), 'w'))
         for test in self.tests:
             if self.tests.index(test) + 1 == len(self.tests):
                 self.last_test = True
             log("Running Test: %s" % test.name, border='-')
             with self.config.quiet_out.enable():
                 if not self.__run_test(test, benchmark_log):
                     any_failed = True
             # Load intermediate result from child process
             self.results.load()
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Using a context manager with ExitStack ensures proper file closure even if exceptions occur, improving resource management and code reliability.

    7
    Use context manager for database cursor to ensure proper resource management

    Consider using a context manager (with statement) for database connections to ensure
    proper resource management and automatic closing of the connection.

    infrastructure/docker/databases/postgres/postgres.py [11-21]

     @classmethod
     def get_connection(cls, config):
         db = psycopg2.connect(
                 host=config.database_host,
                 port="5432",
                 user="benchmarkdbuser",
                 password="benchmarkdbpass",
                 database="hello_world")
    -    cursor = db.cursor()
    -    cursor.execute("CREATE EXTENSION IF NOT EXISTS pg_stat_statements")
    +    with db.cursor() as cursor:
    +        cursor.execute("CREATE EXTENSION IF NOT EXISTS pg_stat_statements")
         return db
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Using a context manager for the database cursor ensures proper resource management and automatic closing of the cursor. This can help prevent resource leaks and improve code reliability.

    7
    Use more descriptive variable names to improve code readability

    Consider using a more descriptive variable name instead of 'c' in the for loop to
    improve code readability and maintainability.

    benchmarks/load-testing/wrk/query.sh [22-26]

    -for c in $levels
    +for query_level in $levels
     do
     echo ""
     echo "---------------------------------------------------------"
    -echo " Queries: $c for $name"
    +echo " Queries: $query_level for $name"
    • Apply this suggestion
    Suggestion importance[1-10]: 5

    Why: While the suggestion improves code readability, the impact is relatively minor. The current variable name 'c' is short but still understandable in context.

    5
    Security
    Use environment variables for configuration to improve security and flexibility

    Consider using environment variables for sensitive information like database
    credentials instead of hardcoding them in the script.

    infrastructure/docker/services/bw-startup.sh [35-49]

     docker run \
       -e USER_ID=$(id -u) \
    +  -e BW_SERVER_HOST \
    +  -e BW_CLIENT_HOST \
    +  -e BW_DATABASE_HOST \
    +  -e BW_RUN_NAME \
    +  -e BW_ENVIRONMENT \
    +  -e BW_UPLOAD_URI \
    +  -e BW_RUN_ORDER \
       --network=host \
       --mount type=bind,source=$BW_REPOPARENT/$BW_REPONAME,target=/BenchWeb \
       khulnasoft/bw \
    -  --server-host $BW_SERVER_HOST \
    -  --client-host $BW_CLIENT_HOST \
    -  --database-host $BW_DATABASE_HOST \
       --network-mode host \
    -  --results-name "$BW_RUN_NAME" \
    -  --results-environment "$BW_ENVIRONMENT" \
    -  --results-upload-uri "$BW_UPLOAD_URI" \
    -  $(if [ "$BW_RUN_ORDER" = "reverse" ]; then echo "--reverse-order"; fi) \
       --quiet
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Using environment variables for configuration improves security by not exposing sensitive information in the script and increases flexibility by allowing easy configuration changes without modifying the script.

    7

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