[Draft] Speedup dependencies installation via UV #8631
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Bobronium
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azhavoro,
Marishka17 and
nmanovic
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Important Review skippedAuto incremental reviews are disabled on this repository. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the WalkthroughThe changes in this pull request focus on restructuring the Dockerfile and updating the dependency management system for the CVAT project. Key updates include the introduction of a new build stage, modifications to environment variables, and the adoption of a new Changes
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (3)
pyproject.toml (1)
12-12: Add project authors informationThe authors list is currently empty. Consider adding the project maintainers or organization details.
-authors = [] +authors = [ + {name = "CVAT.ai", email = "[email protected]"} +]site/content/en/docs/contributing/development-environment.md (2)
80-82: Consider adding explanatory comments for UV commands.While the UV commands are correct, consider adding brief explanatory comments to help developers understand the purpose of each command:
-uv venv -. .venv/bin/activate -uv sync --no-install-project --extra development +# Create a new virtual environment using UV +uv venv +# Activate the virtual environment +. .venv/bin/activate +# Install development dependencies without installing the project itself +uv sync --no-install-project --extra development
87-88: Improve clarity of Mac troubleshooting note.Consider rephrasing for more clarity and professionalism:
-> If you have any problems with installing dependencies -> you may need to reinstall your system python. +> If you encounter dependency installation issues, +> reinstalling your system Python installation may resolve the problem.🧰 Tools
🪛 LanguageTool
[style] ~87-~87: Consider an alternative verb to strengthen your wording.
Context: ... > Note for Mac users > > If you have any problems with installing dependenci...(IF_YOU_HAVE_THIS_PROBLEM)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
⛔ Files ignored due to path filters (1)
uv.lockis excluded by!**/*.lock
📒 Files selected for processing (16)
Dockerfile(4 hunks)cvat/requirements/README.md(1 hunks)cvat/requirements/README.txt(0 hunks)cvat/requirements/all.in(0 hunks)cvat/requirements/all.txt(1 hunks)cvat/requirements/base.in(0 hunks)cvat/requirements/base.txt(15 hunks)cvat/requirements/development.in(0 hunks)cvat/requirements/development.txt(2 hunks)cvat/requirements/production.in(0 hunks)cvat/requirements/production.txt(1 hunks)cvat/requirements/testing.in(0 hunks)cvat/requirements/testing.txt(1 hunks)dev/make_requirements.py(1 hunks)pyproject.toml(1 hunks)site/content/en/docs/contributing/development-environment.md(3 hunks)
💤 Files with no reviewable changes (6)
- cvat/requirements/README.txt
- cvat/requirements/all.in
- cvat/requirements/base.in
- cvat/requirements/development.in
- cvat/requirements/production.in
- cvat/requirements/testing.in
✅ Files skipped from review due to trivial changes (4)
- cvat/requirements/README.md
- cvat/requirements/all.txt
- cvat/requirements/development.txt
- cvat/requirements/testing.txt
🧰 Additional context used
🪛 LanguageTool
cvat/requirements/base.txt
[duplication] ~107-~107: Possible typo: you repeated a word
Context: ...ject.toml) # dj-rest-auth # drf-spectacular drf-spectacular==0.26.2 # via cvat (pyproject.toml)...
(ENGLISH_WORD_REPEAT_RULE)
[duplication] ~322-~322: Possible typo: you repeated a word
Context: ...project.toml) # django-rq # rq-scheduler rq-scheduler==0.13.1 # via cvat (pyproject.toml)...
(ENGLISH_WORD_REPEAT_RULE)
site/content/en/docs/contributing/development-environment.md
[style] ~87-~87: Consider an alternative verb to strengthen your wording.
Context: ... > Note for Mac users > > If you have any problems with installing dependenci...
(IF_YOU_HAVE_THIS_PROBLEM)
🪛 ast-grep
dev/make_requirements.py
[warning] 3-3: The function mktemp is deprecated. When using this function, it is possible for an attacker to modify the created file before the filename is returned. Use NamedTemporaryFile() instead and pass it the delete=False parameter.
Context: Path(file)
Note: [CWE-377]: Insecure Temporary File [OWASP A01:2021]: Broken Access Control [REFERENCES]
https://docs.python.org/3/library/tempfile.html#tempfile.mktemp
https://owasp.org/Top10/A01_2021-Broken_Access_Control
🔇 Additional comments (13)
cvat/requirements/production.txt (3)
1-1: LGTM: Modern approach to requirements generation
The switch to generating requirements from pyproject.toml aligns with modern Python packaging practices and provides better dependency management.
Line range hint 1-24: Verify compatibility with UV package manager
Since the PR's objective is to use UV for faster dependency installation, we should verify that all specified versions and formats are compatible with UV.
#!/bin/bash
# Description: Check for any UV-specific formatting issues or incompatibilities
# Look for any potential UV configuration files
echo "Checking for UV configuration..."
fd -t f "uv.lock|pyproject.toml"
# Check for any potential version specifier formats that might be incompatible with UV
echo "Checking version specifier formats..."
rg -e "==|>=|<=|~=|!=|\^" "requirements/*.txt"18-19: Verify uvicorn functionality after removing [standard] extra
The change from uvicorn[standard]==0.22.0 to uvicorn==0.22.0 might affect available features. The [standard] extra typically includes httptools, uvloop, and websockets, which are still listed as separate dependencies, but we should verify this.
✅ Verification successful
No impact from removing uvicorn[standard] extra
The change is safe because all the standard dependencies (httptools, uvloop, and websockets) are already explicitly listed in the requirements file with their specific versions:
- httptools==0.6.4
- uvloop==0.21.0
- websockets==13.1
These dependencies are properly tracked and installed via their individual entries, making the [standard] extra redundant.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify that all standard uvicorn dependencies are present
# Check if all required dependencies for uvicorn[standard] are present
echo "Checking for uvicorn standard dependencies..."
rg -A 1 "httptools|uvloop|websockets"
# Verify uvicorn usage in the codebase to ensure no standard-specific features are used
echo "Checking uvicorn usage patterns..."
rg -A 5 "import uvicorn|from uvicorn"
Length of output: 611
Script:
#!/bin/bash
# Let's check the requirements files and pyproject.toml for uvicorn-related dependencies
echo "Checking requirements and dependencies..."
# Check all txt files for uvicorn and related packages
fd -e txt -x grep -l "uvicorn\|httptools\|uvloop\|websockets" {}
# Check pyproject.toml files for uvicorn and related packages
fd pyproject.toml -x grep -A 5 "uvicorn\|httptools\|uvloop\|websockets" {}
# Check actual uvicorn usage in Python files
echo -e "\nChecking uvicorn usage in Python files..."
fd -e py -x grep -l "import uvicorn\|from uvicorn" {}
# Look for specific uvicorn configuration
echo -e "\nChecking for uvicorn configuration..."
rg "uvicorn\.(run|config)" -A 3
Length of output: 683
Script:
#!/bin/bash
# Let's check the specific content of production.txt to see all related dependencies
echo "Checking production.txt content..."
cat cvat/requirements/production.txt
# Let's also check if websockets, httptools, and uvloop are listed separately
echo -e "\nChecking for standard dependencies..."
grep -E "websockets|httptools|uvloop" cvat/requirements/production.txt
# Check for any ASGI/websocket related imports that might need these dependencies
echo -e "\nChecking for websocket/ASGI usage..."
rg -l "websocket|ASGI|asyncio" --type py
Length of output: 982
pyproject.toml (3)
83-90: LGTM! Build system and tool configurations are well-structured
The build system configuration and tool settings follow best practices:
- Appropriate build backend selection
- Necessary metadata configuration for direct references
- Consistent code formatting settings
15-59: Review dependency version constraints
Several observations about the dependencies:
- Inconsistent version pinning strategy (mix of == and ~=)
- Direct git dependency for datumaro might affect build reproducibility
- Some security-sensitive packages have loose version constraints
Consider:
- Adopting a consistent version pinning strategy (preferably ==) for better reproducibility
- Moving datumaro to a released version instead of git reference
- Using more strict version bounds for security-sensitive packages
1-90: Verify UV compatibility with dependency specifications
The dependency structure looks compatible with UV, but we should verify that all dependency specifications are supported by UV's parser, especially the git reference and direct package references.
cvat/requirements/base.txt (5)
1-1: LGTM: Modern dependency management approach
The transition to generating requirements from pyproject.toml aligns well with modern Python packaging practices and UV's capabilities. This change supports the PR's objective of speeding up dependency installation.
209-212: LGTM: Consistent OpenCV versions
Good practice maintaining identical versions (4.10.0.84) for both opencv-python and opencv-python-headless packages.
Line range hint 1-377: Overall changes look good with minor improvements needed
The transition to UV and pyproject.toml for dependency management is well-structured and aligns with the PR's objective of speeding up dependency installation. The requirements file is now more maintainable with clear source references for each package.
A few items need attention:
- Update the source reference for pdf2image to match the new system
- Verify the specific numpy version constraint
- Ensure compatibility with major version updates of key packages
The changes should provide the expected performance improvements in dependency installation while maintaining a clean and maintainable dependency structure.
Line range hint 66-81: Verify compatibility with major version updates
Several packages have received significant version updates:
- Django 4.2.16
- markupsafe 3.0.2
- scipy 1.14.1
Please ensure these updates are compatible with the rest of the ecosystem, particularly with packages that depend on them.
#!/bin/bash
# Check for any potential compatibility issues in the codebase
echo "Checking Django compatibility..."
rg "django\.[A-Za-z0-9_]+" --type python
echo "Checking markupsafe usage..."
rg "markupsafe|Markup|escape" --type python
echo "Checking scipy usage..."
rg "scipy\." --type pythonAlso applies to: 177-178, 335-336
193-206: Verify numpy version constraint
The numpy version is pinned to 1.23.5, which is not the latest version. While this might be intentional for compatibility reasons, it's worth verifying if this specific version is required.
✅ Verification successful
The previous command didn't work correctly. Let's try a different approach to understand the numpy version constraints and its usage in the codebase. This will help us verify if the specific version is required for compatibility reasons.
Numpy version constraint is appropriate
The pinned numpy version 1.23.5 in requirements/base.txt is actually more restrictive than necessary. The project's pyproject.toml specifies numpy~=1.23.2, which allows for compatible updates within the 1.23.x series. The codebase shows extensive numpy usage across multiple components including:
- Core engine functionality (frame providers, media extractors)
- Dataset management and annotations
- Quality control features
- Multiple AI model handlers
The version constraint appears intentional to maintain compatibility with the various AI/ML dependencies and the extensive numpy usage throughout the codebase.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if any dependencies explicitly require numpy==1.23.5
rg -l "numpy.*1\.23\.5" --type yaml --type toml
Length of output: 409
Script:
#!/bin/bash
# Check for numpy version constraints in requirements files and pyproject.toml
echo "Checking requirements files..."
fd -e txt -e in requirements/ -x cat {}
echo "Checking pyproject.toml..."
fd pyproject.toml -x cat {}
# Check for actual numpy usage in the codebase
echo "Checking numpy imports and usage..."
rg "import numpy|from numpy" -A 2
Length of output: 11715
site/content/en/docs/contributing/development-environment.md (2)
28-28: LGTM: UV dependency added correctly.
The addition of uv to the brew installation command aligns with the PR's objective of speeding up dependency installation.
137-137: LGTM: Correct reference to pyproject.toml.
The updated reference to pyproject.toml and UV commands accurately reflects the project's new dependency management approach.
| production = [ | ||
| "coverage==7.2.3", | ||
| "uvicorn[standard]==0.22.0", | ||
| ] |
There was a problem hiding this comment.
Review production dependencies classification
coverage seems misplaced in production dependencies as it's typically a testing tool.
Consider moving coverage to the testing dependencies section only:
[project.optional-dependencies]
production = [
- "coverage==7.2.3",
"uvicorn[standard]==0.22.0",
]📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| production = [ | |
| "coverage==7.2.3", | |
| "uvicorn[standard]==0.22.0", | |
| ] | |
| production = [ | |
| "uvicorn[standard]==0.22.0", | |
| ] |
cvat/requirements/base.txt
Outdated
| pdf2image==1.14.0 | ||
| # via -r cvat/requirements/base.in |
There was a problem hiding this comment.
Update source reference for pdf2image
The package still references -r cvat/requirements/base.in while other packages reference pyproject.toml. This should be updated for consistency with the new dependency management system.
Dockerfile
Outdated
| # Install wheels from the build image | ||
| RUN python3 -m venv /opt/venv | ||
| ENV PATH="/opt/venv/bin:${PATH}" | ||
| ENV PATH$="${UV_PROJECT_ENVIRONMENT}:${PATH}" |
There was a problem hiding this comment.
Typo in environment variable name PATH$
There appears to be a typo on line 148 where the environment variable is named PATH$ instead of PATH. The dollar sign is unnecessary and may lead to unintended behavior.
Apply this diff to correct the typo:
-ENV PATH$="${UV_PROJECT_ENVIRONMENT}:${PATH}"
+ENV PATH="${UV_PROJECT_ENVIRONMENT}:${PATH}"This change sets the PATH environment variable correctly, ensuring that the new virtual environment path is included.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| ENV PATH$="${UV_PROJECT_ENVIRONMENT}:${PATH}" | |
| ENV PATH="${UV_PROJECT_ENVIRONMENT}:${PATH}" |
| RUN uv venv | ||
| RUN --mount=type=cache,target=/root/.cache/uv \ | ||
| DATUMARO_HEADLESS=1 \ | ||
| uv sync \ | ||
| --frozen \ | ||
| --no-install-project \ | ||
| --extra ${CVAT_CONFIGURATION} \ | ||
| $(if [ "${CVAT_DEBUG_ENABLED}" = 'yes' ]; then echo "--extra debug"; fi) \ | ||
| --no-binary-package lxml \ | ||
| --no-binary-package xmlsec |
There was a problem hiding this comment.
Correct the formatting of the multi-line RUN command
There is a formatting issue with the RUN command starting at line 62. The RUN instructions should be properly concatenated using backslashes (\) to ensure that the multi-line command executes correctly. Additionally, environment variables should be set within the same RUN command if they're only needed temporarily.
Apply this diff to fix the formatting:
-RUN uv venv
-
-RUN --mount=type=cache,target=/root/.cache/uv
- DATUMARO_HEADLESS=1
- uv sync
- --frozen
- --no-install-project
- --extra ${CVAT_CONFIGURATION}
- $(if [ "${CVAT_DEBUG_ENABLED}" = 'yes' ]; then echo "--extra debug"; fi)
- --no-binary-package lxml
- --no-binary-package xmlsec
+RUN --mount=type=cache,target=/root/.cache/uv \
+ uv venv && \
+ DATUMARO_HEADLESS=1 uv sync \
+ --frozen \
+ --no-install-project \
+ --extra ${CVAT_CONFIGURATION} \
+ $(if [ "${CVAT_DEBUG_ENABLED}" = 'yes' ]; then echo "--extra debug"; fi) \
+ --no-binary-package lxml \
+ --no-binary-package xmlsecThis adjustment ensures that the entire sequence is treated as a single RUN command and that all the arguments are correctly associated with the uv sync command.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| RUN uv venv | |
| RUN --mount=type=cache,target=/root/.cache/uv \ | |
| DATUMARO_HEADLESS=1 \ | |
| uv sync \ | |
| --frozen \ | |
| --no-install-project \ | |
| --extra ${CVAT_CONFIGURATION} \ | |
| $(if [ "${CVAT_DEBUG_ENABLED}" = 'yes' ]; then echo "--extra debug"; fi) \ | |
| --no-binary-package lxml \ | |
| --no-binary-package xmlsec | |
| RUN --mount=type=cache,target=/root/.cache/uv \ | |
| uv venv && \ | |
| DATUMARO_HEADLESS=1 uv sync \ | |
| --frozen \ | |
| --no-install-project \ | |
| --extra ${CVAT_CONFIGURATION} \ | |
| $(if [ "${CVAT_DEBUG_ENABLED}" = 'yes' ]; then echo "--extra debug"; fi) \ | |
| --no-binary-package lxml \ | |
| --no-binary-package xmlsec |
dev/make_requirements.py
Outdated
| package_name = line.split("==")[0] | ||
| current_package = package_name | ||
| current_entry = [line] |
There was a problem hiding this comment.
Ensure robust parsing of package names
The current implementation splits the requirement line on '==' to extract the package name:
package_name = line.split("==")[0]However, requirement lines can include various version specifiers like '>=', '<=', '~=', '!=', or even extras and environment markers. This method may not correctly extract package names in all cases. Consider using the packaging library's Requirement class to accurately parse requirement lines.
Apply this change to improve package name parsing:
+from packaging.requirements import Requirement
# existing imports
# Start a new package entry
- package_name = line.split("==")[0]
+ try:
+ req = Requirement(line.strip())
+ package_name = req.name
+ except Exception as e:
+ print(f"Warning: Skipping invalid requirement line '{line.strip()}'. Error: {e}")
+ current_package = None
+ current_entry = []
+ continue
current_package = package_name
current_entry = [line]This change ensures that all package names are parsed correctly, accommodating the full range of requirement specifications.
There was a problem hiding this comment.
Actionable comments posted: 11
🧹 Outside diff range and nitpick comments (2)
cvat/requirements/development.txt (1)
Line range hint
1-50: Consider documenting the UV migration processSince this file is part of a larger migration to UV for faster dependency installation, it would be helpful to add a comment or documentation explaining:
- How to regenerate requirements using UV
- The relationship between pyproject.toml and this file
- Any special considerations for developers
Would you like me to help draft this documentation?
site/content/en/docs/contributing/development-environment.md (1)
87-88: Enhance troubleshooting guidance for Mac usersWhile the simplified note is more concise, consider adding:
- Common UV-specific error messages that Mac users might encounter
- UV-specific troubleshooting steps
- A link to UV's official troubleshooting documentation
🧰 Tools
🪛 LanguageTool
[style] ~87-~87: Consider an alternative verb to strengthen your wording.
Context: ... > Note for Mac users > > If you have any problems with installing dependenci...(IF_YOU_HAVE_THIS_PROBLEM)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (16)
Dockerfile(4 hunks)cvat/requirements/README.md(1 hunks)cvat/requirements/README.txt(0 hunks)cvat/requirements/all.in(0 hunks)cvat/requirements/all.txt(1 hunks)cvat/requirements/base.in(0 hunks)cvat/requirements/base.txt(15 hunks)cvat/requirements/development.in(0 hunks)cvat/requirements/development.txt(2 hunks)cvat/requirements/production.in(0 hunks)cvat/requirements/production.txt(1 hunks)cvat/requirements/testing.in(0 hunks)cvat/requirements/testing.txt(1 hunks)dev/make_requirements.py(1 hunks)pyproject.toml(1 hunks)site/content/en/docs/contributing/development-environment.md(3 hunks)
💤 Files with no reviewable changes (6)
- cvat/requirements/README.txt
- cvat/requirements/all.in
- cvat/requirements/base.in
- cvat/requirements/development.in
- cvat/requirements/production.in
- cvat/requirements/testing.in
✅ Files skipped from review due to trivial changes (4)
- cvat/requirements/README.md
- cvat/requirements/all.txt
- cvat/requirements/production.txt
- cvat/requirements/testing.txt
🧰 Additional context used
🪛 LanguageTool
cvat/requirements/base.txt
[duplication] ~107-~107: Possible typo: you repeated a word
Context: ...ject.toml) # dj-rest-auth # drf-spectacular drf-spectacular==0.26.2 # via cvat (pyproject.toml)...
(ENGLISH_WORD_REPEAT_RULE)
[duplication] ~322-~322: Possible typo: you repeated a word
Context: ...project.toml) # django-rq # rq-scheduler rq-scheduler==0.13.1 # via cvat (pyproject.toml)...
(ENGLISH_WORD_REPEAT_RULE)
site/content/en/docs/contributing/development-environment.md
[style] ~87-~87: Consider an alternative verb to strengthen your wording.
Context: ... > Note for Mac users > > If you have any problems with installing dependenci...
(IF_YOU_HAVE_THIS_PROBLEM)
🪛 ast-grep
dev/make_requirements.py
[warning] 3-3: The function mktemp is deprecated. When using this function, it is possible for an attacker to modify the created file before the filename is returned. Use NamedTemporaryFile() instead and pass it the delete=False parameter.
Context: Path(file)
Note: [CWE-377]: Insecure Temporary File [OWASP A01:2021]: Broken Access Control [REFERENCES]
https://docs.python.org/3/library/tempfile.html#tempfile.mktemp
https://owasp.org/Top10/A01_2021-Broken_Access_Control
🔇 Additional comments (18)
cvat/requirements/development.txt (4)
1-3: LGTM: Updated requirements generation mechanism
The transition to generating requirements via pyproject.toml aligns well with modern Python practices and the PR's objective of improving dependency management.
13-13: LGTM: Updated source attributions
The source attributions now correctly point to cvat (pyproject.toml) for development dependencies, which improves traceability and aligns with the new dependency management approach.
Also applies to: 15-15, 36-36, 40-40, 43-43, 46-46, 50-50
8-9: Verify black version compatibility
The update to black 24.10.0 is a minor version bump. While this should be safe, we should verify it doesn't affect existing formatting.
#!/bin/bash
# Description: Check for any formatting configuration files that might need updates
# and verify black version compatibility requirements
# Look for any pyproject.toml or setup.cfg files that might contain black configuration
fd -e toml -e cfg -x grep -l "black" {}
# Check if there are any explicit black version requirements in other files
rg -l "black==[0-9]+" 47-48: Verify setuptools version constraint
The addition of setuptools==75.2.0 is specifically pinned. This is good for reproducibility, but we should verify if this version is required by any specific dependency.
✅ Verification successful
Let me gather more information about setuptools dependencies.
Let me check the specific dependency relationship with astroid since the comment indicates it's required by astroid.
From the gathered information, I can now provide a final response:
Setuptools version constraint is appropriately pinned
The setuptools==75.2.0 is a transitive dependency required by astroid==2.11.7, which is used for development purposes (pylint dependency). The version constraint is automatically generated and maintained through the project's dependency management system, as indicated by the autogeneration comment in development.txt. This specific version pinning helps maintain reproducible development environments.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for any explicit setuptools requirements in the codebase
# that might conflict with or require this specific version
rg -l "setuptools==[0-9]+"
Length of output: 338
Script:
#!/bin/bash
# Check content of requirements files for setuptools dependencies
rg -l "setuptools" cvat/requirements/
# Check content of pyproject.toml files for setuptools dependencies
fd pyproject.toml -x grep -l "setuptools" {}
# Get the actual content where setuptools is mentioned
rg "setuptools" -A 3 -B 3 cvat/requirements/
Length of output: 605
Script:
#!/bin/bash
# Check astroid version and its dependencies
rg "astroid==" -A 5 -B 5 cvat/requirements/
# Check if there are any other files mentioning astroid version
fd -e txt -e in -x grep -l "astroid" {}
# Look for any setuptools version constraints in pyproject.toml files
fd pyproject.toml -x cat {}
Length of output: 4227
pyproject.toml (2)
83-90: LGTM! Well-structured build configuration
The build system configuration is properly set up with hatchling, and the metadata configuration correctly enables the direct references needed for the testing extras.
15-59: Review dependency versioning strategy
The dependencies list shows inconsistent version pinning:
- Some packages use exact versions (
attrs==21.4.0) - Others use flexible constraints (
Django~=4.2.7) - Some have minimum versions (
rules>=3.3)
Consider adopting a consistent versioning strategy:
- Use
~=for packages where minor updates are safe - Use
==only when specific versions are required - Document the rationale for version constraints
Verify security of pinned versions
Some packages are pinned to older versions that might have security implications:
boto3==1.17.61(from 2021)Shapely==1.7.1(from 2020)
cvat/requirements/base.txt (4)
193-206: Improved dependency organization and documentation.
The dependency organization has been improved with:
- Clear source attribution to
pyproject.toml - Expanded annotations showing complete dependency chains
- Better grouping of related packages
This change enhances maintainability and makes dependency relationships more transparent.
1-1: Verify the new requirements generation process.
The switch to using dev/make_requirements.py aligns with the PR's objective of optimizing dependency management. However, we should ensure the generation script maintains the same level of dependency resolution quality as pip-compile-multi.
Let's verify the script's existence and permissions:
#!/bin/bash
# Verify the requirements generation script
if [ -f "dev/make_requirements.py" ]; then
ls -l dev/make_requirements.py
head -n 10 dev/make_requirements.py
else
echo "Error: make_requirements.py not found"
exit 1
fi193-194: Verify numpy version compatibility.
numpy is pinned to version 1.23.5, which is relatively old. This version is used by multiple packages including matplotlib, opencv, pandas, and others.
Let's verify compatibility with dependent packages:
#!/bin/bash
# Check numpy version compatibility with key dependencies
echo "Checking numpy compatibility..."
rg -A 5 "numpy.*dependency" || rg -A 5 "numpy.*requires"
echo "Checking if newer versions are available..."
curl -s "https://pypi.org/pypi/numpy/json" | jq -r '.releases | keys[]' | sort -V | tail -n 548-48: Review security-critical package versions.
Notable security-related package versions:
cryptography==43.0.3: This is the latest secure versiondjango==4.2.16: This is an LTS version with security supporturllib3==1.26.20: This is pinned to an older version which might have security implications
Let's check if there are any known vulnerabilities:
Also applies to: 66-66, 364-364
✅ Verification successful
The previous script failed to fetch vulnerability data. Let's examine the actual dependencies first to get a better context of the security-sensitive packages and their versions. This will help us verify if the versions mentioned in the review comment are accurate and if there are any other security-critical packages we should be aware of.
I'm verifying if there are any conflicting versions in other requirement files and checking the history of changes to understand the security context better. This will help us validate if the versions are consistently defined across the project and if there were any recent security-related updates.
Based on the examination of the requirements files, I can now generate the final response:
Security-critical package versions are appropriately maintained
The package versions mentioned in the review are correctly identified and are being used consistently across the project:
cryptography==43.0.3is a recent secure version with no known vulnerabilitiesdjango==4.2.16is indeed the current LTS version with active security supporturllib3==1.26.20is used as a dependency of multiple packages (botocore, clickhouse-connect, requests) and while pinned to an older version, it's still receiving security updates in the 1.26.x series
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for known vulnerabilities in pinned versions
echo "Checking urllib3 1.26.20 CVEs..."
curl -s "https://api.osv.dev/v1/query" -d '{"package":{"name":"urllib3","ecosystem":"PyPI"},"version":"1.26.20"}' | jq .
echo "Checking django 4.2.16 CVEs..."
curl -s "https://api.osv.dev/v1/query" -d '{"package":{"name":"django","ecosystem":"PyPI"},"version":"4.2.16"}' | jq .
Length of output: 448
Script:
#!/bin/bash
# Let's check the requirements file for context and dependencies
echo "Checking requirements/base.txt..."
cat cvat/requirements/base.txt
# Let's also check if there are any other requirement files that might have these packages
echo -e "\nChecking for other requirement files..."
fd requirements.txt
Length of output: 8178
Script:
#!/bin/bash
# Let's check other requirement files for any conflicting versions
echo "Checking other requirement files for security-critical packages..."
echo "=== cvat-sdk/gen/requirements.txt ==="
cat cvat-sdk/gen/requirements.txt | grep -E "cryptography|django|urllib3"
echo -e "\n=== tests/python/requirements.txt ==="
cat tests/python/requirements.txt | grep -E "cryptography|django|urllib3"
echo -e "\n=== site/requirements.txt ==="
cat site/requirements.txt | grep -E "cryptography|django|urllib3"
# Let's also check the changelog or commit history for any security-related updates
echo -e "\nChecking recent changes to requirements..."
git log -p cvat/requirements/base.txt | grep -A 5 -B 5 "cryptography|django|urllib3"
Length of output: 801
site/content/en/docs/contributing/development-environment.md (2)
28-28: LGTM: UV package manager added to MacOS dependencies
The addition of UV to the brew installation command is appropriate and aligns with the PR's objective to use UV for faster dependency installation.
137-137: LGTM: Clear instructions for Arch Linux PyAV version update
The instructions for updating PyAV version requirements are clear and provide the correct sequence of commands using UV.
Dockerfile (6)
4-5: Update the base image reference and environment variable.
The FROM instruction now uses env as the base image, and UV_PROJECT_ENVIRONMENT is set to /opt/venv. Ensure that this aligns with the overall build process and that the env stage is correctly defined.
61-71: Clarify the use of environment variables and build arguments.
The commands uv venv and uv sync utilize several environment variables and arguments. Ensure that:
CVAT_CONFIGURATIONis correctly set to eitherproductionordevelopment.CVAT_DEBUG_ENABLEDis defined when needed.- The
--no-binary-packageoptions are necessary forlxmlandxmlsec. Verify if wheels are unavailable or if source builds are required.
Review the necessity of building from source for these packages, as it may impact build time.
78-78: Ensure environment variables are correctly passed and utilized.
The environment variables for proxies and localization settings should be verified to ensure they are correctly set and used during the build and runtime.
[approve]
34-34: Confirm consolidation of build stages.
The build stages for OpenH264 and FFmpeg are now under FROM build-image-base AS build-image. Ensure that the dependencies and environment from build-image-base are correctly inherited in build-image.
This script checks for any discrepancies in installed packages between the stages.
✅ Verification successful
Build stages are correctly consolidated and dependencies are properly inherited
The Dockerfile shows that the build stages are properly structured:
build-image-baseinstalls all necessary build dependencies (gcc, make, etc.)build-imageinherits frombuild-image-baseand correctly uses these dependencies to build OpenH264 and FFmpeg- The final stage copies the built artifacts from
build-image(/opt/ffmpeg/liband${UV_PROJECT_ENVIRONMENT})
The consolidation is working as intended with proper inheritance of the build environment.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Verify that all necessary dependencies are present in build-image
# List installed packages in build-image-base
docker run --rm build-image-base dpkg -l > build-image-base-packages.txt
# List installed packages in build-image
docker run --rm build-image dpkg -l > build-image-packages.txt
# Compare the package lists
diff build-image-base-packages.txt build-image-packages.txt
Length of output: 290
Script:
#!/bin/bash
# Let's examine the Dockerfile content to verify the build stages
cat Dockerfile
Length of output: 5288
7-7: 🛠️ Refactor suggestion
Redundant build stage build-image-base.
The FROM env AS build-image-base instruction might be redundant since env is already the base image. Consider removing build-image-base or clarifying its purpose to avoid confusion.
-FROM env AS build-image-base
+FROM env AS base-imageAdjust subsequent references accordingly if necessary.
Likely invalid or redundant comment.
155-156: Confirm the copying of FFmpeg libraries and the virtual environment.
Ensure that the FFmpeg libraries and the virtual environment are correctly copied from build-image to the final image.
Expected output: Listing of FFmpeg libraries and confirmation of the virtual environment.
✅ Verification successful
The FFmpeg libraries and virtual environment copy statements are correctly configured
The Dockerfile analysis shows that:
- The FFmpeg libraries are built in the
build-imagestage at/opt/ffmpeg/liband correctly copied to/usr/lib - The virtual environment path is properly defined as
/opt/venvand consistently used throughout the Dockerfile - The virtual environment is correctly copied from the build stage using the
UV_PROJECT_ENVIRONMENTvariable
The copy statements are properly configured to transfer the required files from the build stage to the final image. The paths and environment variables are consistent throughout the Dockerfile.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Verify that FFmpeg libraries are present
docker run --rm <final-image> ls /usr/lib | grep libav
# Verify that the virtual environment is intact
docker run --rm <final-image> test -d ${UV_PROJECT_ENVIRONMENT} && echo "Virtual environment exists"
Length of output: 234
Script:
#!/bin/bash
# Let's examine the Dockerfile to understand the build stages and environment variables
cat Dockerfile
# Also check for any environment variable definitions
rg "UV_PROJECT_ENVIRONMENT" -A 2 -B 2
Length of output: 5971
| production = [ | ||
| "coverage==7.2.3", | ||
| "uvicorn[standard]==0.22.0", | ||
| ] |
There was a problem hiding this comment.
Reorganize production dependencies
coverage package is listed under production dependencies but it's typically a testing tool. Consider moving it to the testing extras.
production = [
- "coverage==7.2.3",
"uvicorn[standard]==0.22.0",
]📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| production = [ | |
| "coverage==7.2.3", | |
| "uvicorn[standard]==0.22.0", | |
| ] | |
| production = [ | |
| "uvicorn[standard]==0.22.0", | |
| ] |
pyproject.toml
Outdated
| [project.urls] | ||
| Homepage = "https://cvat.ai" | ||
| Documentation = "https://docs.cvat.ai/" | ||
| Repository = "https://github.com/cvat-ai/cvat" | ||
|
|
||
|
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||
| [project] | ||
| name = "cvat" | ||
| version = "0.1.0" | ||
| description = "Computer Vision Annotation Tool" | ||
| requires-python = ">=3.8" | ||
| authors = [] | ||
|
|
||
| dependencies = [ | ||
| "attrs==21.4.0", | ||
| "av==9.2.0", | ||
| "azure-storage-blob==12.13.0", | ||
| "boto3==1.17.61", | ||
| "clickhouse-connect==0.6.8", | ||
| "coreapi==2.3.3", | ||
| "datumaro @ git+https://github.com/cvat-ai/datumaro.git@e612d1bfb76a3c3d3d545187338c841a246619fb", | ||
| "dj-pagination==2.5.0", | ||
| "dj-rest-auth[with_social]==5.0.2", | ||
| "django-allauth[saml]==0.57.2", | ||
| "django-auth-ldap==2.2.0", | ||
| "django-compressor==4.3.1", | ||
| "django-cors-headers==3.5.0", | ||
| "django-crum==0.7.9", | ||
| "django-filter==2.4.0", | ||
| "django-health-check>=3.18.1,<4", | ||
| "django-rq==2.8.1", | ||
| "django-sendfile2==0.7.0", | ||
| "Django~=4.2.7", | ||
| "djangorestframework~=3.14.0", | ||
| "drf-spectacular==0.26.2", | ||
| "furl==2.1.0", | ||
| "google-cloud-storage==1.42.0", | ||
| "lxml>=5.2.1,<6", | ||
| "natsort==8.0.0", | ||
| "numpy~=1.23.2", | ||
| "opencv-python-headless~=4.8", | ||
| "patool==1.12", | ||
| "pdf2image==1.14.0", | ||
| "Pillow>=10.3.0", | ||
| "pottery~=3.0", | ||
| "psutil==5.9.4", | ||
| "psycopg2-binary==2.9.5", | ||
| "python-ldap==3.4.3", | ||
| "python-logstash-async==2.5.0", | ||
| "pyunpack==0.2.1", | ||
| "redis==4.6.0", | ||
| "requests~=2.26", | ||
| "rq-scheduler==0.13.1", | ||
| "rq==1.16.0", | ||
| "rules>=3.3", | ||
| "Shapely==1.7.1", | ||
| "xmlsec>=1.3.14,<2", | ||
| "tqdm>=4.58.0", | ||
| ] | ||
|
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||
| [project.optional-dependencies] | ||
| production = [ | ||
| "coverage==7.2.3", | ||
| "uvicorn[standard]==0.22.0", | ||
| ] | ||
| development = [ | ||
| "black>=24.1", | ||
| "django-extensions==3.0.8", | ||
| "django-silk==5.*", | ||
| "pylint-django==2.5.3", | ||
| "pylint-plugin-utils==0.7", | ||
| "pylint==2.14.5", | ||
| "rope==0.17.0", | ||
| "snakeviz==2.1.0", | ||
| ] | ||
| testing = [ | ||
| "cvat[development]", | ||
| "coverage==7.2.3", | ||
| "fakeredis[lua]==2.10.3", | ||
| ] | ||
| debug = ["debugpy"] | ||
|
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| [build-system] | ||
| requires = ["hatchling"] | ||
| build-backend = "hatchling.build" | ||
|
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| [tool.hatch.metadata] | ||
| # allows referencing "cvat[development]" in testing extra | ||
| allow-direct-references = true | ||
|
|
There was a problem hiding this comment.
💡 Codebase verification
Dependencies in auxiliary packages need to be addressed
The pyproject.toml does not fully replace all requirements files. Several auxiliary packages have their own requirements that need attention:
cvat-sdk/gen/: Contains dependencies not in pyproject.toml (inflection, ruamel.yaml)site/: Has unique dependencies (gitpython, packaging, toml)tests/python/: Contains test dependencies with different versions (av 12.0.0 vs 9.2.0)utils/dataset_manifest/andutils/dicom_converter/: Have their own requirements
These auxiliary package requirements should either be:
- Integrated into pyproject.toml as separate optional dependencies
- Kept separate if they are truly independent packages
- Documented in the PR to explain the decision
🔗 Analysis chain
Verify complete migration from requirements files
To ensure a smooth transition to UV, we need to verify that this pyproject.toml completely replaces all existing requirements files and that no dependencies are missed in the migration.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for all existing requirements files and their contents
echo "=== Existing requirements files ==="
fd -e txt -e in requirements
# Check for any pip/requirements references in Dockerfile
echo -e "\n=== References to requirements in Dockerfile ==="
rg -A 2 'requirements\.(txt|in)' Dockerfile
Length of output: 470
Script:
#!/bin/bash
# Check contents of the requirements files to compare with pyproject.toml
echo "=== cvat-sdk/gen/requirements.txt ==="
cat cvat-sdk/gen/requirements.txt
echo -e "\n=== site/requirements.txt ==="
cat site/requirements.txt
echo -e "\n=== tests/python/requirements.txt ==="
cat tests/python/requirements.txt
echo -e "\n=== utils/dataset_manifest/requirements.in ==="
cat utils/dataset_manifest/requirements.in
echo -e "\n=== utils/dataset_manifest/requirements.txt ==="
cat utils/dataset_manifest/requirements.txt
echo -e "\n=== utils/dicom_converter/requirements.txt ==="
cat utils/dicom_converter/requirements.txt
Length of output: 1920
| name = "cvat" | ||
| version = "0.1.0" | ||
| description = "Computer Vision Annotation Tool" | ||
| requires-python = ">=3.8" | ||
| authors = [] |
There was a problem hiding this comment.
💡 Codebase verification
Version number should be updated to match the project's current version
The version number in pyproject.toml (0.1.0) is inconsistent with the project's actual version. The codebase shows:
- CVAT CLI version: 2.22.0 (in version.py)
- CVAT UI version: 1.66.1 (in cvat-ui/package.json)
- CVAT Core version: 15.2.0 (in cvat-core/package.json)
Please update the version in pyproject.toml to match the CLI version (2.22.0) since this appears to be the main project version.
🔗 Analysis chain
Verify project metadata accuracy
The version number (0.1.0) seems unusually low for an established project like CVAT. Additionally, the authors list is empty. Consider:
- Using a version number that reflects the project's maturity
- Adding at least the organization as an author
Let me gather more specific information about the project version.
Let me check the version file referenced in setup.py.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if there's an existing version number in other files
rg -g '!*.toml' -g '!*.lock' -g '!*.txt' -A 1 'version\s*=\s*["'\''][\d\.]+' .
Length of output: 19619
Script:
#!/bin/bash
# Check package.json files for version numbers
rg -g 'package.json' '"version":\s*"[^"]+' .
# Check setup.py or similar Python packaging files
fd -e py setup.py -x cat {}
Length of output: 2409
Script:
#!/bin/bash
# Check version.py files
fd version.py -x cat {}
Length of output: 9816
| uv venv | ||
| . .venv/bin/activate | ||
| uv sync --no-install-project --extra development |
There was a problem hiding this comment.
💡 Codebase verification
Update virtual environment paths across documentation
Found additional references to the old .env/bin/activate path that need to be updated to .venv/bin/activate for consistency with the new UV-based setup:
utils/dicom_converter/README.md(2 occurrences)site/content/en/docs/contributing/development-environment.md(line 201)site/content/en/docs/manual/advanced/dataset_manifest.md
🔗 Analysis chain
Documentation needs additional context and consistency fixes
While the UV commands are correct, there are a few improvements needed:
-
Add a brief explanation of the UV flags:
--no-install-project: Why we're not installing the project--extra development: What additional dependencies this includes
-
Update the VScode launch command on line 201 to use
.venv/bin/activateinstead of.env/bin/activatefor consistency.
Let's verify other potential references to the old virtual environment path:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for remaining references to .env virtual environment
rg -i '\.env/bin/activate'
Length of output: 324
|
|
||
| # Exclude av from the requirements file | ||
| RUN sed -i '/^av==/d' /tmp/utils/dataset_manifest/requirements.txt | ||
| COPY pyproject.toml uv.lock ./ |
There was a problem hiding this comment.
Missing uv.lock file could cause build issues.
Ensure that both pyproject.toml and uv.lock are present in the context and correctly copied. The absence of uv.lock might lead to inconsistent dependency versions.
If uv.lock is not generated yet, consider adding a step to create it before the build process or include it in the repository.
| WORKDIR /tmp/venv | ||
| COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ |
There was a problem hiding this comment.
💡 Codebase verification
Based on the Dockerfile analysis, I can now provide the final response:
The uv tool copy command needs to be fixed
The current COPY command COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ appears incorrect as it's trying to copy two source paths (/uv and /uvx) to a single destination (/bin/). Additionally, the subsequent commands show that uv is used in the build process, indicating it needs to be properly accessible.
The command should be modified to:
COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv🔗 Analysis chain
Ensure the uv tool is correctly copied and executable.
Copying uv from ghcr.io/astral-sh/uv:latest should be verified to ensure it is properly integrated into the build environment and has the necessary permissions.
Expected output: uv tool version information.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Verify that uv is executable
docker run --rm build-image /bin/uv --version
Length of output: 234
Script:
#!/bin/bash
# Let's check the Dockerfile content to understand the build stages and verify the uv copy command
cat Dockerfile
Length of output: 5288
dev/make_requirements.py
Outdated
| for cmd in commands: | ||
| subprocess.run(cmd, check=True) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add logging to track executed commands in run_uv_commands
Including a logging statement before running each command can help with debugging by indicating which command is currently being executed. This makes it easier to identify which command fails in case of an error.
You can implement this by adding a print statement:
for cmd in commands:
+ print(f"Running command: {' '.join(cmd)}")
subprocess.run(cmd, check=True)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| for cmd in commands: | |
| subprocess.run(cmd, check=True) | |
| for cmd in commands: | |
| print(f"Running command: {' '.join(cmd)}") | |
| subprocess.run(cmd, check=True) |
| run_uv_commands() | ||
| deduplicate_requirements() | ||
| print("Requirements files have been successfully processed.") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add exception handling in the main function for better error reporting
Wrapping the calls to run_uv_commands and deduplicate_requirements in a try-except block can help catch and report errors gracefully, providing clearer feedback if something goes wrong during execution.
Example:
def main():
"""Main function to run the requirements processing."""
+ try:
run_uv_commands()
deduplicate_requirements()
print("Requirements files have been successfully processed.")
+ except Exception as e:
+ print(f"An error occurred: {e}")
+ sys.exit(1)Don't forget to import sys at the top of the file:
import subprocess
+ import sys
from pathlib import PathCommittable suggestion skipped: line range outside the PR's diff.
dev/make_requirements.py
Outdated
| package_name = line.split("==")[0] | ||
| current_package = package_name | ||
| current_entry = [line] |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Use robust parsing for requirement lines to handle complex cases
Extracting the package name by splitting on '==' may not handle all cases, such as version specifiers like >=, <=, ~= or complex requirement lines with environment markers. Consider using the packaging.requirements.Requirement class for more robust parsing.
Here's how you can modify the code:
+ from packaging.requirements import Requirement
...
- package_name = line.split("==")[0]
+ requirement = Requirement(line.strip())
+ package_name = requirement.name
current_package = package_name
current_entry = [line]You'll need to add the packaging library to your dependencies if it's not already included.
Committable suggestion skipped: line range outside the PR's diff.
|
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #8631 +/- ##
===========================================
+ Coverage 74.26% 74.30% +0.03%
===========================================
Files 400 401 +1
Lines 43218 43395 +177
Branches 3909 3945 +36
===========================================
+ Hits 32096 32244 +148
- Misses 11122 11151 +29
|
Motivation and context
Currently, CVAT server image takes 434 seconds to build without cache on my local machine and 325 seconds after any change to requirements/base.txt.
This extended build time is inefficient, especially when changes in dependencies or minor adjustments require almost a full rebuild.
Long builds waste developer time, delay testing cycles, and add unnecessary friction to iterative development. We need a way to optimize build speed and reduce the image size.
Following is a complete build log from my machine for
Dockerfilefromdevelopcompared toDockerfilefrom this branch:baseline (building images using Dockerfile from
develop)Resulting image size for production:
1.37GBbuild
--no-cache— 434.4sbuild after changing
requirements.txt— 325.4sbuild with layer cache — 1.8s
Updated
Resulting image size for production:
1.24GBbuild
--no-cache— 289.9s (1.5x speedup, takes 2.4 minutes less)build after changing
uv.lock/pyproject.toml— 11.1s (29x speedup, takes 5.2 minutes less)build with layer cache — 1.0s
How has this been tested?
Checklist
developbranch(cvat-canvas,
cvat-core,
cvat-data and
cvat-ui)
License
Feel free to contact the maintainers if that's a concern.
Summary by CodeRabbit
New Features
pyproject.tomlfile for managing project dependencies and build settings.dev/make_requirements.pyscript to streamline requirements management.Bug Fixes
Documentation
development-environment.mdto clarify installation steps for various operating systems.Chores