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Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
tar unknown | __key__ string | __url__ string |
|---|---|---|
"YWZzLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 456a106fc69abcc6e07bbd99e09cdb5b34d4bbd88f7043293e012be50189f055 | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
"cm9vdC8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 5b3e480c90b349ea4199a3f5fabf4f428325d8c4a1f809e5a605676ebe97dc08 | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
"ZGV2LwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 51ac2fe26077640e5ad8f499910146188d06491dfec4691b59474505f1bd8687 | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
"b3B0LwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | c434d5a6bc9131baf654466d550abe317e0adcf60db167994167b247082af55f | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
"ZXRjLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA(...TRUNCATED) | 6d12b90f7c188d9bc169d8047fda55c1b83f1e00209e68e822777167b6ef7f19 | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
null | dd64cdcd1abdfcfa26d2e5db3ec90757f8fc31de19caa0c4721e6f8dc0cfbba2 | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
null | manifest | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/keyc(...TRUNCATED) |
null | index | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/mori(...TRUNCATED) |
null | manifest | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/mori(...TRUNCATED) |
null | index | "hf://datasets/VanyaJ/mories-caeba-amd64@3d495e3da98f3a52ba4e0ee12ec53c27886432c2/docker_images/nats(...TRUNCATED) |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
π Mories-CAEBA & Zenith Production Release Guide (Linux AMD64)
μμ μμ΄κ°(Air-Gapped) x86_64(AMD64) Linux μλ²μ© νλ‘λμ λ°°ν¬ ν¨ν€μ§
Mories μΈμ§ μ§μ κ·Έλν, CAEBA μ€μΌμ€νΈλ μ΄ν°, Zenith Vue 3 λμ보λ, NATS JetStream, Keycloak IAM, Redis λ° μ€ν λμΌλ‘ MCP μλ² μΌμ²΄ ν¬ν¨
π¦ 1. λ°°ν¬ ν¨ν€μ§ κ΅¬μ± μμ (7λ λ컀 μ΄λ―Έμ§ & μ€μ )
| νμΌ / λλ ν 리 | μ€λͺ | μΈλΆ μ 보 |
|---|---|---|
docker-compose.yml |
7λ λ§μ΄ν¬λ‘μλΉμ€ μ€μΌμ€νΈλ μ΄μ κ΅¬μ± νμΌ | pull_policy: never, ν¬νΈ μΆ©λ λ°©μ§, AUTH_DISABLED μ§μ |
.env.example |
νλ‘λμ νκ²½λ³μ ν νλ¦Ώ | ν¬νΈ, DB μΈμ¦ μ 보, LLM/Embedding μ€μ |
docker_images/ |
μμ linux/amd64 7λ 컨ν
μ΄λ μ΄λ―Έμ§ μμΉ΄μ΄λΈ |
|
ββ mories-caeba-core-v4.6.0-amd64.tar.gz |
Mories-CAEBA λ°±μλ μΈμ§ μ½μ΄ | 450.8 MB (mories-caeba-core:v4.6.0-amd64) |
ββ zenith-dashboard-v2.1.0-amd64.tar.gz |
Zenith Vue 3 μΉ κ΄λ¦¬ μ½μ | 25.1 MB (zenith-dashboard:v2.1.0-amd64) |
ββ neo4j-v5.26.0-amd64.tar.gz |
Neo4j 5.x μ§μ κ·Έλν & λ²‘ν° μΈλ±μ€ DB | 320.6 MB (neo4j:5.26.0-community) |
ββ nats-v2.10-alpine-amd64.tar.gz |
BADA NATS JetStream μ΄λ²€νΈ λ©μμ§ λ²μ€ | 9.9 MB (nats:2.10-alpine) |
ββ redis-v7-alpine-amd64.tar.gz |
Redis 7 κ³ μ μΊμ & λΉλκΈ° μμ ν | 15.4 MB (redis:7-alpine) |
ββ keycloak-v24.0.5-amd64.tar.gz |
Keycloak 24 IAM & μν°νλΌμ΄μ¦ 보μ μλ² | 247.4 MB (quay.io/keycloak/keycloak:24.0.5) |
ββ postgres-v16-alpine-amd64.tar.gz |
Keycloak μ μ© PostgreSQL 16 DB | 109.9 MB (postgres:16-alpine) |
seed_data/ |
μ§μ μ€λ μ· λ° μ¦μ 볡μ νμ΄νλΌμΈ | |
ββ restore_knowledge.sh |
νΈμ€νΈ μμ‘΄μ± μλ μν°μΉ Cypher Shell μ£Όμ μ€ν¬λ¦½νΈ | docker exec -i mories-neo4j cypher-shell κΈ°λ° |
ββ restore_knowledge.cypher |
νλ₯΄μλ 3μΈλ°©, 55λ μꡬ기μ΅, 49κ° μν€, 62λ CAEBA μ컀 ꡬ문 | 100% λ¬΄κ²°μ± κ²μ¦ μλ£ Cypher 쿼리 |
ββ mories_knowledge_snapshot.json |
Mories μΈμ§ μ§μ κ·Έλν JSON μ€λ μ· | Version 4.6.0 |
ββ restore_knowledge.py |
Python κΈ°λ° λ³΅μ λꡬ (Bolt / REST API μ§μ) | |
mcp_package/ |
Local-First SQLite λ΄μ₯ν μ¬μΈμ MCP μλ² | |
ββ mories_mcp.py |
12λ Consolidated νμ¬λ + 0-Latency SQLite λ΄μ₯ λ°λͺ¬ | FastMCP 3.4.7 κΈ°λ° |
ββ claude_code_config.json |
Claude Code CLI μ€μ κ°μ΄λ | |
ββ cursor_config.json |
Cursor IDE μ€μ κ°μ΄λ | |
ββ opencode_config.json |
Windows OpenCode μ€μ κ°μ΄λ | |
ββ claude_desktop_config.json |
Claude Desktop μ€μ κ°μ΄λ | |
upload_to_hf.py |
Hugging Face Hub μν΄λ¦ λ¦΄λ¦¬μ€ λκΈ°ν μ€ν¬λ¦½νΈ | Dataset / Model Hub μ λ‘λ |
β‘ 2. 3μ€ λΉ λ₯Έ μμ (3-Line Quick Start)
μμ΄κ° Linux x86_64 μλ²μ ν°λ―Έλμμ λ€μ 3μ€μ μμλλ‘ μ€νν©λλ€:
# 1. 7λ μμ΄κ° λ컀 μ΄λ―Έμ§ μΌκ΄ λ‘λ
for img in docker_images/*.tar.gz; do echo "π¦ Loading $img..."; docker load < "$img"; done
# 2. νλ‘λμ
컨ν
μ΄λ μ 체 λ°±κ·ΈλΌμ΄λ ꡬλ
docker compose up -d
# 3. νλ₯΄μλ 3μΈλ°© & 55λ μꡬ κΈ°μ΅ μ§μ κ·Έλν μ¦μ 볡μ (1μ΄ μμ)
bash seed_data/restore_knowledge.sh
π 3. ꡬλ νμΈ λ° μλΉμ€ μλν¬μΈνΈ
컨ν μ΄λ ꡬλ μλ£ ν λΈλΌμ°μ λλ curlμ ν΅ν΄ μ μμ νμΈν©λλ€:
| μλΉμ€ | μ μ μ£Όμ (URL) | κΈ°λ³Έ κ³μ μ 보 | λΉκ³ |
|---|---|---|---|
| Zenith μΉ λμ보λ | http://<μλ²IP>:3030 |
- | Vue 3 νλ‘λμ μ½μ |
| Mories API & ν¬μ€μ²΄ν¬ | http://<μλ²IP>:5002/api/health |
- | μΈμ§ μ½μ΄ λ°±μλ |
| Neo4j λΈλΌμ°μ | http://<μλ²IP>:7474 |
neo4j / automatamem1234 |
μ§μ κ·Έλν μκ°ν μ½μ |
| Keycloak IAM μ½μ | http://<μλ²IP>:8180 |
admin / admin1234 |
μν°νλΌμ΄μ¦ IAM κ΄λ¦¬ |
| NATS λͺ¨λν°λ§ | http://<μλ²IP>:8222 |
- | JetStream λͺ¨λν°λ§ |
π§ 4. AI μμ΄μ νΈ MCP μ°λ μ€μ
μΈλΆ ν΄λΌμ΄μΈνΈ λ¨Έμ μμ μμ΄κ° μλ²μ Mories μ§μ κ·Έλνλ₯Ό νμ©νλ €λ©΄ mcp_packageλ₯Ό μ°λν©λλ€:
1) Claude Code (CLI)
claude mcp add mories python /path/to/mcp_package/mories_mcp.py -e MORIES_URL=http://<μλ²IP>:5002 -e MORIES_AGENT_ID=claude-code
2) Cursor IDE (.cursor/mcp.json)
{
"mcpServers": {
"mories": {
"command": "python3",
"args": ["/path/to/mcp_package/mories_mcp.py"],
"env": {
"MORIES_URL": "http://<μλ²IP>:5002",
"MORIES_AGENT_ID": "cursor-agent"
}
}
}
}
3) OpenCode (Windows PowerShell νκ²½)
{
"mcpServers": {
"mories": {
"command": "python",
"args": ["C:\\mories\\mcp_package\\mories_mcp.py"],
"env": {
"MORIES_URL": "http://<μλ²IP>:5002",
"MORIES_AGENT_ID": "opencode-windows"
}
}
}
}
π€ 5. Hugging Face μ μ₯μ λκΈ°ν
λ¦΄λ¦¬μ€ ν¨ν€μ§λ₯Ό Hugging Face Dataset μ μ₯μ(VanyaJ/mories-caeba-amd64)μ μ
λ‘λ/λκΈ°ννλ €λ©΄ λ€μ λͺ
λ Ήμ μ€νν©λλ€:
python3 upload_to_hf.py --repo-id "VanyaJ/mories-caeba-amd64" --repo-type dataset
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