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Bench web/scripts #5

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@gitworkflows gitworkflows commented Nov 6, 2024

PR Type

enhancement, configuration changes, documentation


Description

  • Implemented multiple classes and scripts for benchmarking, including Benchmarker, Results, Metadata, DockerHelper, and various TestType classes.
  • Added Dockerfiles for setting up databases and services, including PostgreSQL, MySQL, MongoDB, and BW service.
  • Introduced scripts for running benchmarks and managing Docker operations.
  • Added configuration files and scripts for Vagrant and Docker environments.
  • Created README files for Vagrant setup and new test implementations.

Changes walkthrough 📝

Relevant files
Configuration changes
22 files
wrk.dockerfile
Add Dockerfile for wrk benchmarking tool setup                     

benchmarks/load-testing/wrk/wrk.dockerfile

  • Added a Dockerfile for the wrk benchmarking tool.
  • Installed necessary packages and scripts for benchmarking.
  • Set up environment variables with default values.
  • +21/-0   
    postgres.dockerfile
    Add Dockerfile for PostgreSQL database setup                         

    infrastructure/docker/databases/postgres/postgres.dockerfile

  • Added a Dockerfile for setting up a PostgreSQL database.
  • Configured environment variables for PostgreSQL setup.
  • Copied configuration files for PostgreSQL initialization.
  • +12/-0   
    mysql.dockerfile
    Add Dockerfile for MySQL database setup                                   

    infrastructure/docker/databases/mysql/mysql.dockerfile

  • Added a Dockerfile for setting up a MySQL database.
  • Configured environment variables for MySQL setup.
  • Copied configuration files for MySQL initialization.
  • +11/-0   
    mongodb.dockerfile
    Add Dockerfile for MongoDB database setup                               

    infrastructure/docker/databases/mongodb/mongodb.dockerfile

  • Added a Dockerfile for setting up a MongoDB database.
  • Configured environment variables for MongoDB setup.
  • Copied initialization script for MongoDB.
  • +5/-0     
    create.js
    Add MongoDB initialization script with sample data             

    infrastructure/docker/databases/mongodb/create.js

  • Created MongoDB script to initialize the hello_world database.
  • Inserted sample data into world and fortune collections.
  • Created indexes on collections for optimized queries.
  • +25/-0   
    bw-startup.sh
    Add startup script for BW service with Docker setup           

    infrastructure/docker/services/bw-startup.sh

  • Added startup script for BW service.
  • Configured environment variables and Docker build/run commands.
  • Implemented result zipping and uploading after tests.
  • +61/-0   
    bootstrap.sh
    Add bootstrap script for Vagrant environment setup             

    infrastructure/vagrant/bootstrap.sh

  • Added bootstrap script for Vagrant setup.
  • Installed Docker and configured passwordless sudo for Vagrant user.
  • Set up welcome message and environment aliases.
  • +48/-0   
    bw-shutdown.sh
    Add shutdown script for BW service with Docker cleanup     

    infrastructure/docker/services/bw-shutdown.sh

  • Added shutdown script for BW service.
  • Implemented Docker cleanup and disk space check.
  • Executed cleanup on server, database, and client hosts.
  • +33/-0   
    entry.sh
    Add entry script for Docker container execution                   

    infrastructure/docker/entry.sh

  • Added entry script for Docker container execution.
  • Set up user permissions and executed test scripts.
  • +7/-0     
    config.sh
    Add PostgreSQL configuration script with custom settings 

    infrastructure/docker/databases/postgres/config.sh

  • Added configuration script for PostgreSQL.
  • Appended custom settings to PostgreSQL configuration.
  • +5/-0     
    core.rb
    Add Vagrant configuration for provisioning and provider setup

    infrastructure/vagrant/core.rb

  • Added Vagrant configuration for provisioning and provider setup.
  • Defined functions for bootstrap and provider-specific settings.
  • +65/-0   
    .siegerc
    Add Siege configuration file for load testing                       

    infrastructure/docker/databases/.siegerc

  • Added configuration file for Siege load testing tool.
  • Configured various settings including concurrency and protocol.
  • +624/-0 
    create-postgres.sql
    Add PostgreSQL initialization script with sample data       

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

  • Added SQL script to initialize PostgreSQL database.
  • Created tables and inserted sample data for benchmarking.
  • +65/-0   
    create.sql
    Add MySQL initialization script with sample data                 

    infrastructure/docker/databases/mysql/create.sql

  • Added SQL script to initialize MySQL database.
  • Created tables and inserted sample data for benchmarking.
  • +70/-0   
    Dockerfile
    Add Dockerfile for BW service image with package installation

    infrastructure/docker/Dockerfile

  • Added Dockerfile for building BW service image.
  • Installed necessary packages and configured user permissions.
  • Set up entry point for Docker container execution.
  • +61/-0   
    my.cnf
    Add MySQL configuration file with custom settings               

    infrastructure/docker/databases/mysql/my.cnf

  • Added MySQL configuration file with custom settings.
  • Configured server, client, and performance settings.
  • +82/-0   
    postgresql.conf
    Add PostgreSQL configuration file with custom settings     

    infrastructure/docker/databases/postgres/postgresql.conf

  • Added PostgreSQL configuration file with custom settings.
  • Configured connection, memory, and performance settings.
  • +35/-0   
    bw.service
    Add systemd service file for BW service                                   

    infrastructure/docker/services/bw.service

  • Added systemd service file for BW service.
  • Configured environment variables and execution commands.
  • +37/-0   
    60-postgresql-shm.conf
    Add shared memory configuration for PostgreSQL                     

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

  • Added shared memory configuration for PostgreSQL.
  • Configured kernel parameters for shared memory.
  • +2/-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.
  • Configured kernel parameters for shared memory.
  • +2/-0     
    Vagrantfile
    Add Vagrantfile for VM provisioning and network setup       

    infrastructure/vagrant/Vagrantfile

  • Added a new Vagrantfile with Ruby configuration.
  • Set up environment variables and network configurations.
  • Defined TCP ports for forwarding.
  • Included provisioning and provider configurations.
  • +33/-0   
    benchmark_config.json
    Add benchmark configuration JSON with placeholders             

    benchmarks/pre-benchmarks/benchmark_config.json

  • Introduced a new JSON configuration file for benchmarks.
  • Defined framework and test parameters with placeholders.
  • Included various settings like URLs, ports, and platforms.
  • +26/-0   
    Enhancement
    33 files
    results.py
    Implement Results class for benchmark data handling           

    utils/results.py

  • Added a new Results class for handling benchmark results.
  • Implemented methods for parsing, uploading, and storing results.
  • Integrated git information retrieval for benchmarks.
  • +563/-0 
    verifications.py
    Add verification functions for benchmark results                 

    benchmarks/verifications.py

  • Added verification functions for benchmarking results.
  • Implemented checks for response headers and JSON validity.
  • Included functions for verifying database query results.
  • +474/-0 
    metadata.py
    Implement Metadata class for benchmark test management     

    utils/metadata.py

  • Added a Metadata class for managing benchmark metadata.
  • Implemented methods to gather and validate test configurations.
  • Supported dynamic language and framework test gathering.
  • +441/-0 
    docker_helper.py
    Implement DockerHelper class for Docker management             

    utils/docker_helper.py

  • Added a DockerHelper class for managing Docker operations.
  • Implemented methods for building, running, and stopping containers.
  • Integrated Docker client setup for different hosts.
  • +447/-0 
    scaffolding.py
    Add Scaffolding class for new benchmark test setup             

    utils/scaffolding.py

  • Added a Scaffolding class for initializing new benchmark tests.
  • Implemented user prompts for test configuration.
  • Automated creation of test directories and files.
  • +398/-0 
    benchmarker.py
    Implement Benchmarker class for executing benchmarks         

    benchmarks/benchmarker.py

  • Added a Benchmarker class for running and managing benchmarks.
  • Implemented methods for test execution and result handling.
  • Integrated Docker and result management utilities.
  • +350/-0 
    fortune_html_parser.py
    Add FortuneHTMLParser class for HTML response validation 

    benchmarks/fortune/fortune_html_parser.py

  • Added a FortuneHTMLParser class for parsing HTML responses.
  • Implemented methods for validating HTML content against a spec.
  • Included character reference normalization for comparison.
  • +189/-0 
    run-tests.py
    Add script for running benchmark tests with CLI                   

    scripts/run-tests.py

  • Added a script for running benchmark tests with argument parsing.
  • Implemented command-line options for test configuration.
  • Integrated benchmarker initialization and execution.
  • +272/-0 
    time_logger.py
    Implement TimeLogger class for execution time tracking     

    utils/time_logger.py

  • Added a TimeLogger class for tracking execution times.
  • Implemented methods for logging various benchmark phases.
  • Provided formatted output for time durations.
  • +142/-0 
    popen.py
    Add PopenTimeout class for subprocess management with timeout

    utils/popen.py

  • Added a PopenTimeout class for subprocess management with timeout.
  • Implemented a method to terminate processes after a timeout.
  • Provided a decorator for expirable subprocess methods.
  • +43/-0   
    framework_test.py
    Add FrameworkTest class for managing and verifying tests 

    benchmarks/framework_test.py

  • Introduced a FrameworkTest class to manage framework tests.
  • Implemented methods for starting tests, checking request acceptance,
    and verifying URLs.
  • Added logging and error handling using colorama for colored output.
  • +189/-0 
    abstract_test_type.py
    Introduce AbstractTestType class for test type interface 

    benchmarks/abstract_test_type.py

  • Defined an abstract base class AbstractTestType for test types.
  • Implemented methods for parsing configurations and making HTTP
    requests.
  • Added abstract methods for subclasses to implement specific test
    logic.
  • +132/-0 
    fortune.py
    Implement fortune test type with HTML parsing and verification

    benchmarks/fortune/fortune.py

  • Added TestType class for fortune test type.
  • Implemented URL verification and response validation using
    FortuneHTMLParser.
  • Defined script variables for benchmarking.
  • +123/-0 
    benchmark_config.py
    Add BenchmarkConfig class for managing benchmark configurations

    utils/benchmark_config.py

  • Created BenchmarkConfig class to handle benchmark configuration.
  • Initialized configuration parameters from command-line arguments.
  • Set up Docker host configurations based on network mode.
  • +91/-0   
    abstract_database.py
    Introduce AbstractDatabase class for database operations 

    infrastructure/docker/databases/abstract_database.py

  • Defined AbstractDatabase class as a base for database operations.
  • Added abstract methods for database connection and query verification.
  • Implemented a method to verify query and row numbers using siege.
  • +115/-0 
    fail-detector.py
    Create fail detector script for analyzing framework failures

    scripts/fail-detector.py

  • Developed a fail detector script using Selenium.
  • Implemented functions to scrape and analyze framework failures.
  • Configured Selenium WebDriver for headless operation.
  • +78/-0   
    db.py
    Implement database test type with response validation       

    benchmarks/db/db.py

  • Added TestType class for database test type.
  • Implemented URL verification and response validation for database
    tests.
  • Defined script variables for benchmarking.
  • +94/-0   
    output_helper.py
    Add logging utilities with color support and quiet mode   

    utils/output_helper.py

  • Introduced logging functions with color support using colorama.
  • Implemented QuietOutputStream for conditional output suppression.
  • Added file size limit for log files to prevent disk consumption.
  • +94/-0   
    postgres.py
    Implement PostgreSQL database operations with connection handling

    infrastructure/docker/databases/postgres/postgres.py

  • Implemented Database class for PostgreSQL operations.
  • Added methods for database connection, query execution, and cache
    reset.
  • Handled exceptions and logging for database operations.
  • +84/-0   
    mongodb.py
    Implement MongoDB database operations with connection handling

    infrastructure/docker/databases/mongodb/mongodb.py

  • Implemented Database class for MongoDB operations.
  • Added methods for database connection and query statistics retrieval.
  • Included error handling and logging for database operations.
  • +82/-0   
    mysql.py
    Implement MySQL database operations with connection handling

    infrastructure/docker/databases/mysql/mysql.py

  • Implemented Database class for MySQL operations.
  • Added methods for database connection and query statistics retrieval.
  • Included error handling and logging for database operations.
  • +85/-0   
    plaintext.py
    Implement plaintext test type with response validation     

    benchmarks/plaintext/plaintext.py

  • Added TestType class for plaintext test type.
  • Implemented URL verification and response validation for plaintext
    tests.
  • Defined script variables for benchmarking.
  • +80/-0   
    cached-query.py
    Implement cached-query test type with response validation

    benchmarks/cached-query/cached-query.py

  • Added TestType class for cached-query test type.
  • Implemented URL verification and response validation for cached
    queries.
  • Defined script variables for benchmarking.
  • +67/-0   
    query.py
    Implement query test type with response validation             

    benchmarks/query/query.py

  • Added TestType class for query test type.
  • Implemented URL verification and response validation for queries.
  • Defined script variables for benchmarking.
  • +66/-0   
    update.py
    Implement update test type with response validation           

    benchmarks/update/update.py

  • Added TestType class for update test type.
  • Implemented URL verification and response validation for updates.
  • Defined script variables for benchmarking.
  • +65/-0   
    json.py
    Implement JSON test type with response validation               

    benchmarks/json/json.py

  • Added TestType class for JSON test type.
  • Implemented URL verification and response validation for JSON
    responses.
  • Defined script variables for benchmarking.
  • +68/-0   
    __init__.py
    Add dynamic loading and registration of database modules 

    infrastructure/docker/databases/init.py

  • Added dynamic loading of database modules from directories.
  • Implemented checks for required methods in database modules.
  • Registered databases in a dictionary for easy access.
  • +29/-0   
    audit.py
    Add Audit class for framework test auditing                           

    utils/audit.py

  • Introduced Audit class for auditing framework tests.
  • Implemented methods to check for missing files and inconsistencies.
  • Added logging for audit results.
  • +30/-0   
    __init__.py
    Add dynamic loading and registration of test type modules

    benchmarks/init.py

  • Added dynamic loading of test type modules from directories.
  • Registered test types in a dictionary for easy access.
  • +20/-0   
    pipeline.sh
    Add pipeline benchmark script using wrk                                   

    benchmarks/load-testing/wrk/pipeline.sh

  • Added shell script for running pipeline benchmarks using wrk.
  • Configured primer, warmup, and concurrency levels for testing.
  • Logged start and end times for each test run.
  • +35/-0   
    concurrency.sh
    Add concurrency benchmark script using wrk                             

    benchmarks/load-testing/wrk/concurrency.sh

  • Added shell script for running concurrency benchmarks using wrk.
  • Configured primer, warmup, and concurrency levels for testing.
  • Logged start and end times for each test run.
  • +35/-0   
    query.sh
    Add query benchmark script using wrk                                         

    benchmarks/load-testing/wrk/query.sh

  • Added shell script for running query benchmarks using wrk.
  • Configured primer, warmup, and concurrency levels for testing.
  • Logged start and end times for each test run.
  • +35/-0   
    pipeline.lua
    Add Lua script for wrk pipeline request handling                 

    benchmarks/load-testing/wrk/pipeline.lua

  • Added Lua script for wrk to handle pipeline requests.
  • Configured request initialization and formatting.
  • +12/-0   
    Miscellaneous
    1 files
    custom_motd.sh
    Add custom message of the day script for Vagrant                 

    infrastructure/vagrant/custom_motd.sh

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

    infrastructure/vagrant/README.md

  • Added README for setting up a development environment using Vagrant.
  • Provided instructions for prerequisites and launching the environment.
  • Included FAQs and troubleshooting tips.
  • +93/-0   
    README.md
    Add README template for new test implementations                 

    benchmarks/pre-benchmarks/README.md

  • Added README template for new test implementations.
  • Provided instructions for setting up and verifying tests.
  • Included placeholders for test-specific information.
  • +93/-0   

    💡 PR-Agent usage: Comment /help "your question" on any pull request to receive relevant information

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    sourcery-ai bot commented Nov 6, 2024

    Reviewer's Guide by Sourcery

    This pull request adds a comprehensive set of scripts and infrastructure for running web framework benchmarks, including test types, database support, load testing, and development environment setup.

    Class diagram for the new Benchmarker and related classes

    classDiagram
        class Benchmarker {
            +Benchmarker(config)
            +run() bool
            +stop(signal, frame)
            -__exit_test(success, prefix, file, message) bool
            -__run_test(test, benchmark_log) bool
            -__benchmark(framework_test, benchmark_log)
            -__begin_logging(framework_test, test_type)
            -__end_logging()
            -__log_container_output(container, framework_test, test_type)
        }
    
        class DockerHelper {
            +DockerHelper(benchmarker)
            +build(test, build_log_dir) int
            +run(test, run_log_dir) Container
            +stop(containers)
            +build_databases()
            +start_database(database) Container
            +build_wrk()
            +test_client_connection(url) bool
            +server_container_exists(container_id_or_name) bool
            +benchmark(script, variables) Container
        }
    
        class Results {
            +Results(benchmarker)
            +parse(tests)
            +parse_test(framework_test, test_type) dict
            +parse_all(framework_test)
            +write_intermediate(test_name, status_message)
            +set_completion_time()
            +upload()
            +load()
            +get_docker_stats_file(test_name, test_type) string
            +get_raw_file(test_name, test_type) string
            +get_stats_file(test_name, test_type) string
            +report_verify_results(framework_test, test_type, result)
            +report_benchmark_results(framework_test, test_type, results)
            +finish()
        }
    
        Benchmarker --> DockerHelper
        Benchmarker --> Results
        DockerHelper --> Container
        Results --> Benchmarker
    
    Loading

    File-Level Changes

    Change Details Files
    Added core benchmarking framework and test types
    • Created abstract test type base class defining the benchmark test interface
    • Implemented test types for JSON, Plaintext, DB, Query, Cached Query, Fortune and Update tests
    • Added test verification logic to validate framework responses
    • Created benchmarker class to orchestrate test execution
    benchmarks/abstract_test_type.py
    benchmarks/benchmarker.py
    benchmarks/json/json.py
    benchmarks/plaintext/plaintext.py
    benchmarks/db/db.py
    benchmarks/query/query.py
    benchmarks/cached-query/cached-query.py
    benchmarks/fortune/fortune.py
    benchmarks/update/update.py
    Added database support for MySQL, PostgreSQL and MongoDB
    • Created abstract database interface
    • Implemented database-specific adapters for MySQL, PostgreSQL and MongoDB
    • Added database initialization scripts and configuration files
    • Added Docker configurations for database containers
    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/mysql.dockerfile
    infrastructure/docker/databases/postgres/postgres.dockerfile
    infrastructure/docker/databases/mongodb/mongodb.dockerfile
    Added load testing infrastructure using wrk
    • Created wrk scripts for different benchmark scenarios
    • Added concurrency and pipeline testing capabilities
    • Added query load testing support
    benchmarks/load-testing/wrk/concurrency.sh
    benchmarks/load-testing/wrk/pipeline.sh
    benchmarks/load-testing/wrk/query.sh
    benchmarks/load-testing/wrk/pipeline.lua
    benchmarks/load-testing/wrk/wrk.dockerfile
    Added development environment setup using Vagrant
    • Created Vagrant configuration for development VM
    • Added bootstrap script for VM provisioning
    • Added support for VirtualBox and LibVirt providers
    infrastructure/vagrant/Vagrantfile
    infrastructure/vagrant/bootstrap.sh
    infrastructure/vagrant/core.rb
    Added utility modules for test execution and results handling
    • Created results collection and reporting module
    • Added test metadata handling
    • Added benchmark configuration management
    • Added output and logging utilities
    utils/results.py
    utils/metadata.py
    utils/benchmark_config.py
    utils/output_helper.py
    utils/time_logger.py

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    Hey @gitworkflows - I've reviewed your changes and they look great!

    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: 3 issues 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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    nitpick (documentation): Typo: 'greated' should be 'greeted' in the text above

    too old, download the newest `deb` directly). See
    [here](https://www.vagrantup.com/downloads.html) for downloads

    * **A CPU that can virtualize a 64-bit virtual OS**, because BW
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    suggestion (documentation): Clarify that the 64-bit requirement applies to the host machine

    Consider rephrasing to explicitly state this is a host machine requirement

    Suggested change
    * **A CPU that can virtualize a 64-bit virtual OS**, because BW
    * **A host machine with a 64-bit CPU capable of virtualization**, because BW


    ## Prerequisites

    * **A recent version of Vagrant**, like 1.6.3 (NOTE: `apt-get` is
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    suggestion (documentation): Consider making version requirement more specific

    It would be helpful to specify the minimum required version of Vagrant

    Suggested change
    * **A recent version of Vagrant**, like 1.6.3 (NOTE: `apt-get` is
    * **Vagrant 1.6.3 or higher** (NOTE: `apt-get` is

    with open(self.file, "w") as f:
    f.write(json.dumps(self.__to_jsonable(), indent=2))

    def parse_test(self, framework_test, test_type):
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    issue (complexity): Consider refactoring the parse_test() method into smaller focused helper methods to handle different parsing responsibilities.

    The parse_test() method has become difficult to maintain due to deep nesting and mixed responsibilities. Consider extracting the parsing logic into focused helper methods:

    def parse_test(self, framework_test, test_type):
        results = {'results': []}
        stats = []
    
        if not os.path.exists(self.get_raw_file(framework_test.name, test_type)):
            return results
    
        with open(self.get_raw_file(framework_test.name, test_type)) as raw_data:
            is_warmup = True
            current_result = None
    
            for line in raw_data:
                if self._is_new_test_block(line):
                    is_warmup = False
                    current_result = None
                    continue
    
                if "Warmup" in line or "Primer" in line:
                    is_warmup = True
                    continue
    
                if not is_warmup:
                    current_result = self._ensure_result_dict(current_result, results)
                    self._parse_metrics_line(line, current_result)
    
        self._write_stats_file(framework_test, test_type, stats)
        return results
    
    def _parse_metrics_line(self, line, result):
        if "Latency" in line:
            self._parse_latency(line, result)
        elif "requests in" in line:
            self._parse_request_count(line, result)
        elif "Socket errors" in line:
            self._parse_socket_errors(line, result)
        # etc for other metrics

    This refactoring:

    1. Reduces nesting depth by extracting parsing logic
    2. Makes the code more maintainable by grouping related parsing logic
    3. Improves readability by giving meaningful names to parsing operations
    4. Preserves all existing functionality

    The helper methods make the code's intent clearer while keeping the implementation details organized and accessible.

    @@ -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

    self.failed = dict()
    self.verify = dict()
    for type in test_types:
    self.rawData[type] = dict()
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    suggestion (code-quality): Replace dict() with {} (dict-literal)

    Suggested change
    self.rawData[type] = dict()
    self.rawData[type] = {}


    ExplanationThe most concise and Pythonic way to create a dictionary is to use the {}
    notation.

    This fits in with the way we create dictionaries with items, saving a bit of
    mental energy that might be taken up with thinking about two different ways of
    creating dicts.

    x = {"first": "thing"}

    Doing things this way has the added advantage of being a nice little performance
    improvement.

    Here are the timings before and after the change:

    $ python3 -m timeit "x = dict()"
    5000000 loops, best of 5: 69.8 nsec per loop
    
    $ python3 -m timeit "x = {}"
    20000000 loops, best of 5: 29.4 nsec per loop
    

    Similar reasoning and performance results hold for replacing list() with [].

    '''
    Parses the given test and test_type from the raw_file.
    '''
    results = dict()
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    suggestion (code-quality): Replace dict() with {} (dict-literal)

    Suggested change
    results = dict()
    results = {}


    ExplanationThe most concise and Pythonic way to create a dictionary is to use the {}
    notation.

    This fits in with the way we create dictionaries with items, saving a bit of
    mental energy that might be taken up with thinking about two different ways of
    creating dicts.

    x = {"first": "thing"}

    Doing things this way has the added advantage of being a nice little performance
    improvement.

    Here are the timings before and after the change:

    $ python3 -m timeit "x = dict()"
    5000000 loops, best of 5: 69.8 nsec per loop
    
    $ python3 -m timeit "x = {}"
    20000000 loops, best of 5: 29.4 nsec per loop
    

    Similar reasoning and performance results hold for replacing list() with [].

    continue
    if not is_warmup:
    if rawData is None:
    rawData = dict()
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    suggestion (code-quality): Replace dict() with {} (dict-literal)

    Suggested change
    rawData = dict()
    rawData = {}


    ExplanationThe most concise and Pythonic way to create a dictionary is to use the {}
    notation.

    This fits in with the way we create dictionaries with items, saving a bit of
    mental energy that might be taken up with thinking about two different ways of
    creating dicts.

    x = {"first": "thing"}

    Doing things this way has the added advantage of being a nice little performance
    improvement.

    Here are the timings before and after the change:

    $ python3 -m timeit "x = dict()"
    5000000 loops, best of 5: 69.8 nsec per loop
    
    $ python3 -m timeit "x = {}"
    20000000 loops, best of 5: 29.4 nsec per loop
    

    Similar reasoning and performance results hold for replacing list() with [].

    the parent process' memory from the child process
    '''
    if framework_test.name not in self.verify.keys():
    self.verify[framework_test.name] = dict()
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    suggestion (code-quality): Replace dict() with {} (dict-literal)

    Suggested change
    self.verify[framework_test.name] = dict()
    self.verify[framework_test.name] = {}


    ExplanationThe most concise and Pythonic way to create a dictionary is to use the {}
    notation.

    This fits in with the way we create dictionaries with items, saving a bit of
    mental energy that might be taken up with thinking about two different ways of
    creating dicts.

    x = {"first": "thing"}

    Doing things this way has the added advantage of being a nice little performance
    improvement.

    Here are the timings before and after the change:

    $ python3 -m timeit "x = dict()"
    5000000 loops, best of 5: 69.8 nsec per loop
    
    $ python3 -m timeit "x = {}"
    20000000 loops, best of 5: 29.4 nsec per loop
    

    Similar reasoning and performance results hold for replacing list() with [].

    the parent process' memory from the child process
    '''
    if test_type not in self.rawData.keys():
    self.rawData[test_type] = dict()
    Copy link

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

    suggestion (code-quality): Replace dict() with {} (dict-literal)

    Suggested change
    self.rawData[test_type] = dict()
    self.rawData[test_type] = {}


    ExplanationThe most concise and Pythonic way to create a dictionary is to use the {}
    notation.

    This fits in with the way we create dictionaries with items, saving a bit of
    mental energy that might be taken up with thinking about two different ways of
    creating dicts.

    x = {"first": "thing"}

    Doing things this way has the added advantage of being a nice little performance
    improvement.

    Here are the timings before and after the change:

    $ python3 -m timeit "x = dict()"
    5000000 loops, best of 5: 69.8 nsec per loop
    
    $ python3 -m timeit "x = {}"
    20000000 loops, best of 5: 29.4 nsec per loop
    

    Similar reasoning and performance results hold for replacing list() with [].

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    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 5 🔵🔵🔵🔵🔵
    🧪 No relevant tests
    🔒 Security concerns

    Security concern:
    Docker API usage. The direct use of the Docker API in utils/docker_helper.py could potentially allow arbitrary code execution if not properly secured. The implementation should be carefully reviewed to ensure proper isolation and security measures are in place when interacting with Docker containers. Additionally, the use of privileged containers (line 240 in utils/docker_helper.py) should be scrutinized as it can pose significant security risks.

    ⚡ Recommended focus areas for review

    Security Concern
    The Docker API is being used directly, which could potentially allow arbitrary code execution if not properly secured. The use of Docker should be carefully reviewed to ensure proper isolation and security measures are in place.

    Performance Issue
    The benchmarking process involves sleeping for 60 seconds after each test, which could significantly slow down the overall benchmarking process. Consider if this delay is necessary or if it can be optimized.

    Code Complexity
    The Results class contains many methods and complex logic for parsing and processing benchmark results. This complexity may make the code difficult to maintain and extend. Consider refactoring to improve modularity and readability.

    Copy link

    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Score
    Best practice
    Use a valid and stable MySQL version in the Dockerfile

    Consider using a more specific MySQL version instead of 9.0, which is not a valid
    MySQL version. Use a stable and supported version like 8.0 or 5.7.

    infrastructure/docker/databases/mysql/mysql.dockerfile [1]

    -FROM mysql:9.0
    +FROM mysql:8.0
    • Apply this suggestion
    Suggestion importance[1-10]: 9

    Why: The suggestion correctly identifies an invalid MySQL version (9.0) and proposes using a stable, supported version. This is crucial for ensuring compatibility and security in the database setup.

    9
    Use context managers for file operations to ensure proper resource management

    Use a context manager (with statement) when opening files to ensure they are
    properly closed, even if an exception occurs.

    utils/metadata.py [94-100]

    -config = None
    -with open(config_file_name, 'r') as config_file:
    -    try:
    +try:
    +    with open(config_file_name, 'r') as config_file:
             config = json.load(config_file)
    -    except ValueError:
    -        log("Error loading config: {!s}".format(config_file_name),
    -            color=Fore.RED)
    -        raise Exception("Error loading config file")
    +except ValueError:
    +    log("Error loading config: {!s}".format(config_file_name),
    +        color=Fore.RED)
    +    raise Exception("Error loading config file")
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Using a context manager for file operations is a best practice that ensures proper resource management and file closure, even in case of exceptions. This improves code reliability and resource handling.

    7
    Use a context manager for file handling to ensure proper resource management

    Consider using a context manager for the benchmark log file to ensure proper
    resource management and file closure.

    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 and resource management, which is a good practice for handling file operations.

    7
    Use json.dump() instead of json.dumps() when writing JSON to a file

    Use a context manager (with statement) when opening files to ensure they are
    properly closed after use, even if an exception occurs.

    utils/results.py [341-342]

     with open(self.file, "w") as f:
    -    f.write(json.dumps(self.__to_jsonable(), indent=2))
    +    json.dump(self.__to_jsonable(), f, indent=2, cls=ByteEncoder)
    • Apply this suggestion
    Suggestion importance[1-10]: 5

    Why: The suggestion to use json.dump() directly is a good practice when writing JSON to a file. It's more efficient and uses less memory than json.dumps() followed by write(). The suggestion also correctly includes the custom encoder.

    5
    Use specific exception types to handle expected error cases more precisely

    Consider using a more specific exception type instead of a bare except clause to
    avoid catching and handling unexpected exceptions.

    utils/docker_helper.py [415-419]

     try:
         self.server.containers.get(container_id_or_name)
         return True
    -except:
    +except docker.errors.NotFound:
         return False
    • Apply this suggestion
    Suggestion importance[1-10]: 5

    Why: Using specific exception types improves error handling precision and code clarity. However, the impact is moderate as the current implementation still functions correctly.

    5
    Use more descriptive variable names to improve code readability

    Consider using a more descriptive variable name instead of 'any_failed' to improve
    code readability.

    benchmarks/benchmarker.py [56-75]

    -any_failed = False
    +test_failures_occurred = False
     # Run tests
     log("Running Tests...", border='=')
     
     # build wrk and all databases needed for current run
     self.docker_helper.build_wrk()
     self.docker_helper.build_databases()
     
     with open(os.path.join(self.results.directory, 'benchmark.log'),
               'w') as benchmark_log:
         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
    +                test_failures_occurred = True
             # Load intermediate result from child process
             self.results.load()
    • Apply this suggestion
    Suggestion importance[1-10]: 5

    Why: Using a more descriptive variable name like 'test_failures_occurred' instead of 'any_failed' slightly improves code readability, but the impact is relatively minor.

    5
    Enhancement
    Implement exception handling and ensure proper cleanup in the main benchmark process

    Consider using a try-except block to handle potential exceptions during the
    benchmark process and ensure proper cleanup.

    benchmarks/benchmarker.py [46-85]

     def run(self):
         '''
         This process involves setting up the client/server machines
         with any necessary change. Then going through each test,
         running their docker build and run, verifying the URLs, and
         running benchmarks against them.
         '''
    -    # Generate metadata
    -    self.metadata.list_test_metadata()
    +    try:
    +        # Generate metadata
    +        self.metadata.list_test_metadata()
     
    -    any_failed = False
    -    # Run tests
    -    log("Running Tests...", border='=')
    +        any_failed = False
    +        # Run tests
    +        log("Running Tests...", border='=')
     
    -    # build wrk and all databases needed for current run
    -    self.docker_helper.build_wrk()
    -    self.docker_helper.build_databases()
    +        # build wrk and all databases needed for current run
    +        self.docker_helper.build_wrk()
    +        self.docker_helper.build_databases()
     
    -    with open(os.path.join(self.results.directory, 'benchmark.log'),
    -              'w') as benchmark_log:
    -        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()
    +        with open(os.path.join(self.results.directory, 'benchmark.log'),
    +                  'w') as benchmark_log:
    +            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()
    +    except Exception as e:
    +        log(f"An error occurred during benchmark: {str(e)}", color=Fore.RED)
    +        any_failed = True
    +    finally:
    +        # Ensure cleanup is performed
    +        self.docker_helper.stop()
     
    +    return any_failed
    +
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: Adding exception handling and ensuring proper cleanup improves the robustness of the benchmark process, preventing potential resource leaks and providing better error reporting.

    8
    Use enumerations for predefined sets of values to improve code clarity and reduce errors

    Consider using an enumeration (Enum) for the classification options to improve code
    readability and maintainability.

    utils/scaffolding.py [169-175]

    -if self.classification == '1':
    -    self.classification = 'Fullstack'
    -if self.classification == '2':
    -    self.classification = 'Micro'
    -if self.classification == '3':
    -    self.classification = 'Platform'
    +from enum import Enum
     
    +class Classification(Enum):
    +    FULLSTACK = '1'
    +    MICRO = '2'
    +    PLATFORM = '3'
    +
    +self.classification = Classification(self.classification).name.capitalize()
    +
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: Using enumerations for classification options can improve code readability and maintainability, reducing the chance of errors. However, the current implementation is functional, so the impact is moderate.

    6
    Use enumerate() for more efficient and readable iteration over a list with index

    Replace the manual index-based loop with enumerate() for better readability and
    efficiency.

    benchmarks/benchmarker.py [67-75]

    -for test in self.tests:
    -    if self.tests.index(test) + 1 == len(self.tests):
    -        self.last_test = True
    +for index, test in enumerate(self.tests, 1):
    +    self.last_test = index == len(self.tests)
         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]: 6

    Why: Using enumerate() improves code readability and efficiency by eliminating the need for manual index tracking and list length comparison.

    6
    Use zip() to iterate over multiple lists simultaneously for cleaner code

    Use a more pythonic approach by replacing the explicit index-based loop with
    enumerate() when iterating over items in a list or tuple.

    benchmarks/verifications.py [483-485]

    -for item_num, column in enumerate(row):
    -    if len(main_header[item_num]) != 0:
    -        header = main_header[item_num]
    +for item_num, (column, main_head) in enumerate(zip(row, main_header)):
    +    if main_head:
    +        header = main_head
    • Apply this suggestion
    Suggestion importance[1-10]: 4

    Why: The suggestion offers a more Pythonic and slightly more efficient way to iterate over multiple lists simultaneously. While it improves code readability, the functional impact is minimal.

    4
    Performance
    Use a set instead of a list for faster lookup operations

    Consider using a more efficient data structure like a set instead of a list for
    supported_dbs to improve lookup performance.

    utils/metadata.py [13-15]

    -supported_dbs = []
    -for name in databases:
    -    supported_dbs.append((name, '...'))
    +supported_dbs = set((name, '...') for name in databases)
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: Using a set instead of a list for supported_dbs can improve lookup performance, especially if the list becomes large. However, the impact may be minimal for small datasets.

    6
    Use a more efficient method for calculating the sum of values

    Replace the use of math.fsum() with sum() for better performance when calculating
    averages, as sum() is generally faster for simple summation.

    utils/results.py [547]

    -display_stat = sizeof_fmt(math.fsum(values) / len(values))
    +display_stat = sizeof_fmt(sum(values) / len(values))
    • Apply this suggestion
    Suggestion importance[1-10]: 3

    Why: While the suggestion to use sum() instead of math.fsum() may offer a slight performance improvement, the impact is likely minimal in this context. The existing code is not incorrect, just potentially less efficient.

    3

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