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42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
from dataclasses import dataclass
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from typing import Dict, List
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from praktika.cache import Cache
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from praktika.settings import Settings
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from praktika.utils import MetaClasses, Utils
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@dataclass
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class RunConfig(MetaClasses.Serializable):
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name: str
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digest_jobs: Dict[str, str]
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digest_dockers: Dict[str, str]
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cache_success: List[str]
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# there are might be issue with special characters in job names if used directly in yaml syntax - create base64 encoded list to avoid this
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cache_success_base64: List[str]
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cache_artifacts: Dict[str, Cache.CacheRecord]
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cache_jobs: Dict[str, Cache.CacheRecord]
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sha: str
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@classmethod
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def from_dict(cls, obj):
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cache_artifacts = obj["cache_artifacts"]
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cache_jobs = obj["cache_jobs"]
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cache_artifacts_deserialized = {}
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cache_jobs_deserialized = {}
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for artifact_name, cache_artifact in cache_artifacts.items():
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cache_artifacts_deserialized[artifact_name] = Cache.CacheRecord.from_dict(
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cache_artifact
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)
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obj["cache_artifacts"] = cache_artifacts_deserialized
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for job_name, cache_jobs in cache_jobs.items():
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cache_jobs_deserialized[job_name] = Cache.CacheRecord.from_dict(cache_jobs)
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obj["cache_jobs"] = cache_artifacts_deserialized
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return RunConfig(**obj)
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@classmethod
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def file_name_static(cls, name):
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return (
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f"{Settings.TEMP_DIR}/workflow_config_{Utils.normalize_string(name)}.json"
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)
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