2.1 KiB
Repo context for agents
Remotes
| Name | URL | Purpose |
|---|---|---|
gitea |
https://gitea.cap.nlogn.ir/fazel/spacy-fa-pipeline.git |
Primary self-hosted Gitea |
Pushing to Gitea
Credentials come from rbw (Bitwarden CLI) — no token in git config or any tracked file.
rbw entry: api/gitea_token_AllExceptAdmin
Note: the older
site_farsiconvention usedpass gitea/token_AllExceptAdmin. That entry exists but its GPG agent is not unlocked on this machine —passblocks for ~60s and returns empty. Userbw.
The credential helper is set locally in .git/config (never committed):
credential.https://gitea.cap.nlogn.ir.helper=
!f() { echo username=fazel; echo password=$(rbw get "api/gitea_token_AllExceptAdmin" | head -1); }; f
Push command (bypass proxy — Gitea is on the local network):
NO_PROXY="*" no_proxy="*" http_proxy="" https_proxy="" HTTP_PROXY="" HTTPS_PROXY="" \
git push gitea main
If rbw is locked, rbw unlock first. To rotate: update in the Gitea UI, then
rbw edit "api/gitea_token_AllExceptAdmin". No git config change needed.
What is NOT committed
.gitignore excludes assets/ corpus/ training/ metrics/ packages/ .venv/. The repo holds
only source: configs, scripts, project.yml, docs. Everything else is regenerated:
python -m venv .venv && .venv/bin/python -m pip install -r requirements.txt
.venv/bin/python -m spacy project assets # checksummed downloads
.venv/bin/python -m spacy project run all # ~2h on 4 CPU cores
The trained wheel (13 MB) is a build artifact, not source. Publish it to the HF Hub instead —
see docs/CONTRIBUTING-GUIDE.md §2.
Environment
The venv is Python 3.12.2, created from the conda env at /home/fazel/anaconda3/envs/p12
(the anaconda base python is 3.7 and cannot run spaCy 3.8). The IPython kernel available to
agents is bound to that 3.7 base and will fail on this project — shell out to .venv/bin/python.
GPU (GTX 940MX, 2 GB) is unused: too small for a transformer, not worth the transfer overhead
for an sm pipeline. All training is CPU, --gpu-id -1.