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eric-s-ssvc-harness-git2yakov-g
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[MODEL-18996] update envs (#1397)
* update envs * Update Environment Version ID for public_dropin_environments / java_codegen * Create inputset python311_reconcile_dependencies_default_pr_input * Update Environment Version ID for public_dropin_environments / python311_genai * set DRUM version to 0.0.0 to trigger deps reconcile * Update Environment Version ID for public_dropin_environments / python3_onnx * Reconcile dependencies for public_dropin_environments/python3_keras * set DRUM version to 1.16.7 to trigger deps reconcile * Update Environment Version ID for public_dropin_environments / python3_keras * Revert "Update Environment Version ID for public_dropin_environments / python3_keras" This reverts commit cd1fa97. * Update Environment Version ID for public_dropin_environments / python3_pytorch * Reconcile dependencies for public_dropin_environments/python311 * bump 1 env * Update Environment Version ID for public_dropin_environments / python3_pmml * bump deps to dru, 1.16.12 * Update Environment Version ID for public_dropin_environments / python3_onnx * Update inputset python311_reconcile_dependencies_default_pr_input * Update Environment Version ID for public_dropin_environments / python3_pytorch --------- Co-authored-by: svc-harness-git2 <svc-harness-git2@datarobot.com> Co-authored-by: Yakov Goldberg <yakov.goldberg@datarobot.com>
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inputSet:
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name: python311_reconcile_dependencies_default_pr_input
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tags: {}
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identifier: python311_reconcile_dependencies_default_pr_input
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orgIdentifier: Custom_Models
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projectIdentifier: datarobotusermodels
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pipeline:
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identifier: reconcile_dependencies
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properties:
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ci:
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codebase:
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build:
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type: branch
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spec:
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branch: <+trigger.branch>
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variables:
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- name: env_folder
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type: String
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value: public_dropin_environments
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- name: env_name
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type: String
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value: python311
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- name: image_uri
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type: String
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value: datarobotdev/mirror_chainguard_datarobot.com_python-fips:3.11-dev
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isInlineHCEntity: false

public_dropin_environments/java_codegen/env_info.json

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"name": "[DataRobot] Java Drop-In (DR Codegen, H2O)",
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"description": "This template can be used as an environment for DataRobot generated scoring code or models that implement the either the IClassificationPredictor or IRegressionPredictor interface from the datarobot-prediction package and for H2O models exported as POJO or MOJO.",
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"programmingLanguage": "java",
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"environmentVersionId": "67d933f6d3381d60db7ef899",
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"environmentVersionId": "680a83e459b755002c11c3ce",
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"isPublic": true,
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"useCases": [
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"customModel"

public_dropin_environments/java_codegen/requirements.txt

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click==8.1.8
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cryptography==44.0.1
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datarobot==3.6.3
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datarobot-drum==1.16.5
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datarobot-drum==1.16.12
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datarobot-mlops==10.2.8
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datarobot-storage==0.0.0
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docker==7.1.0

public_dropin_environments/python311/env_info.json

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"name": "[DataRobot] Python 3.11 Drop-In",
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"description": "This template environment can be used to create Python based custom models. User is responsible to provide requirements.txt with the model, to install all the required dependencies.",
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"programmingLanguage": "python",
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"environmentVersionId": "67d933f6d3381d60db7ef895",
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"environmentVersionId": "680a835568a555e652af1f9e",
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"isPublic": true,
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"useCases": [
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"customModel"

public_dropin_environments/python311/requirements.txt

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# This file is autogenerated by pip-compile with Python 3.11
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# by the following command:
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#
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# pip-compile --no-annotate requirements.in
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# pip-compile --index-url=https://pypi.org/simple --no-annotate --no-emit-index-url --no-emit-trusted-host --output-file=requirements.txt requirements.in
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#
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annotated-types==0.7.0
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argcomplete==3.5.3
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click==8.1.8
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cryptography==44.0.1
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datarobot==3.6.2
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datarobot-drum==1.16.5
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datarobot-drum==1.16.12
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datarobot-mlops==10.2.8
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datarobot-storage==0.0.0
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docker==7.1.0

public_dropin_environments/python311_genai/env_info.json

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"name": "[DataRobot] Python 3.11 GenAI",
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"description": "This template environment can be used to create GenAI-powered custom models and includes common dependencies for workflows using OpenAI, Langchain, vector DBs, or transformers in PyTorch. Similar to other drop-in environments, you can either include a .pth artifact or any other code needed to deserialize your model, and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "67d933f6d3381d60db7ef89a",
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"environmentVersionId": "680a8b5627bf0f002cb3c84e",
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"isPublic": true,
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"useCases": [
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"customModel"

public_dropin_environments/python311_genai/requirements.txt

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cryptography==44.0.1
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dataclasses-json==0.6.7
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datarobot==3.6.2
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datarobot-drum==1.16.5
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datarobot-drum==1.16.12
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datarobot-mlops==10.2.8
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datarobot-storage==0.0.0
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deprecated==1.2.18

public_dropin_environments/python3_keras/env_info.json

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"name": "[DataRobot] Python 3.11 Keras Drop-In",
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"description": "This template environment can be used to create artifact-only keras custom models. This environment contains keras backed by tensorflow and only requires your model artifact as a .h5 file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "67d933f6d3381d60db7ef89d",
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"environmentVersionId": "680a835568a555e652af1fa0",
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"isPublic": true,
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"useCases": [
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"customModel"

public_dropin_environments/python3_keras/requirements.txt

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click==8.1.8
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cryptography==44.0.1
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datarobot==3.6.2
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datarobot-drum==1.16.5
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datarobot-drum==1.16.12
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datarobot-mlops==10.2.8
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datarobot-storage==0.0.0
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docker==7.1.0

public_dropin_environments/python3_onnx/env_info.json

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"name": "[DataRobot] Python 3.11 ONNX Drop-In",
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"description": "This template environment can be used to create artifact-only ONNX custom models. This environment contains ONNX runtime and only requires your model artifact as an .onnx file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "67d933f6d3381d60db7ef897",
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"environmentVersionId": "680aa101f381f9002d7cf0be",
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"isPublic": true,
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"useCases": [
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"customModel"

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