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14c0985182
Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
78 lines
2.1 KiB
Python
78 lines
2.1 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from enum import IntEnum
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from enum import StrEnum
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class UserTenantRole(StrEnum):
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OWNER = 'owner'
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ADMIN = 'admin'
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NORMAL = 'normal'
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INVITE = 'invite'
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class TenantPermission(StrEnum):
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ME = 'me'
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TEAM = 'team'
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class SerializedType(IntEnum):
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PICKLE = 1
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JSON = 2
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class FileType(StrEnum):
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PDF = 'pdf'
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DOC = 'doc'
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VISUAL = 'visual'
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AURAL = 'aural'
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VIRTUAL = 'virtual'
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FOLDER = 'folder'
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OTHER = "other"
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VALID_FILE_TYPES = {FileType.PDF, FileType.DOC, FileType.VISUAL, FileType.AURAL, FileType.VIRTUAL, FileType.FOLDER, FileType.OTHER}
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class InputType(StrEnum):
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LOAD_STATE = "load_state" # e.g. loading a current full state or a save state, such as from a file
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POLL = "poll" # e.g. calling an API to get all documents in the last hour
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EVENT = "event" # e.g. registered an endpoint as a listener, and processing connector events
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SLIM_RETRIEVAL = "slim_retrieval"
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class CanvasCategory(StrEnum):
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Agent = "agent_canvas"
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DataFlow = "dataflow_canvas"
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class PipelineTaskType(StrEnum):
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PARSE = "Parse"
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DOWNLOAD = "Download"
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RAPTOR = "RAPTOR"
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GRAPH_RAG = "GraphRAG"
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MINDMAP = "Mindmap"
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VALID_PIPELINE_TASK_TYPES = {PipelineTaskType.PARSE, PipelineTaskType.DOWNLOAD, PipelineTaskType.RAPTOR, PipelineTaskType.GRAPH_RAG, PipelineTaskType.MINDMAP}
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PIPELINE_SPECIAL_PROGRESS_FREEZE_TASK_TYPES = {PipelineTaskType.RAPTOR.lower(), PipelineTaskType.GRAPH_RAG.lower(), PipelineTaskType.MINDMAP.lower()}
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KNOWLEDGEBASE_FOLDER_NAME=".knowledgebase"
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SKILLS_FOLDER_NAME="skills"
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