fix(docs): fix formatting issues in README.md

- adapt meta-/code-/obs- rules to the local Python benchmark pipeline
- replace db-sql-ddl, code-config-env-scope, test-e2e-pytest with pipeline equivalents
- add code-python-style, data-determinism, data-naming-units, bench-methodology, build-pipeline-tasks
- normalize specs and README typography to ASCII per code-data-formatting
- rewrite root CLAUDE.md trigger table; add .cursorrules and .gitignore
- specs: pipeline plan and task specs 00-11
- rules: 19 binding rule files adapted for this project
- docs: CLAUDE.md rule-trigger table
- config: .cursorrules commit convention, .gitignore excluding out/ and .venv/
- docs: rewrite README.md with pipeline diagrams, setup guide, result placeholders
- config: requirements.txt for the closed dependency list
- datagen: make_lab_config.py writes out/config/lab_config.yaml and .done marker

docs/rules/code-python-style.md

@@ -0,0 +1,93 @@
+# Code / Python style - tabs, 3.11+, closed dependency list, streaming
+
+**Purpose + scope.** Baseline style and dependency policy for every Python
+file in this repository (pipeline tasks 01-11, query implementations,
+helper tools). Binding for all contributors.
+
+---
+
+## 1. Language and formatting
+
+- **Python 3.11+.** Use modern stdlib freely (`pathlib`, `dataclasses`,
+  `tomllib` if needed); no compatibility shims for older versions.
+- **Indentation: TABS.** Set by the project owner and repeated in the
+  specs (00_PLAN, 03, 09). Every Python file in this repository indents
+  with tab characters, never spaces. Configure the editor per file type;
+  do not "fix" tab-indented files to spaces.
+- `from __future__ import annotations` at the top of every module.
+- Type hints on public function signatures; internal helpers at author's
+  discretion.
+- English for all identifiers, docstrings, and comments (see
+  [meta-language-style.md](meta-language-style.md) - Russian is the
+  conversation language, not the code language).
+- Comments follow [code-comments-policy.md](code-comments-policy.md):
+  default to none, keep only non-obvious WHY.
+
+## 2. Dependencies - a closed list
+
+The stdlib is the default. The ONLY permitted third-party packages:
+
+| Package | Used by | For |
+|---|---|---|
+| `numpy` | 03 | vectorized generation, seeded RNG |
+| `PyYAML` | 01, 03, 10 | reading/writing the YAML configs |
+| `rdflib` | 04, 07 | JSON-LD validation, RDF serialization |
+| `oxigraph` | 07, 09 | embedded queryable triplestore |
+| `ijson` | 08, 09 | streaming JSON parsing |
+| `psycopg` (v3) | 06, 08, 09 | PostgreSQL COPY and queries |
+| `psutil` | 09 | RSS / CPU / IO measurement |
+| `matplotlib` | 11 | report charts |
+| `pandas` | 08 (optional) | ONLY as the separately-measured second CSV query variant; never in the pipeline itself |
+
+Adding any other package requires updating this table first. In
+particular forbidden: ORMs, logging frameworks
+([obs-python-logging.md](obs-python-logging.md)), CLI frameworks
+(argparse suffices), `requests`/HTTP clients (nothing to call).
+
+Task 03 (data generation) is stricter by spec: **stdlib + numpy only.**
+
+## 3. Script shape - every task is a self-contained CLI
+
+- One entry script per pipeline task, runnable as
+  `python <script>.py [flags]`.
+- `argparse` with `--log-level` (see
+  [obs-python-logging.md](obs-python-logging.md)) and task-appropriate
+  per-run flags ([code-config-yaml.md](code-config-yaml.md) section 4).
+- A module docstring stating the task number, what it produces, and its
+  spec file.
+- `main() -> int` returning the exit code; `sys.exit(main())` under
+  `if __name__ == "__main__":`.
+- Exit code 0 only on full success (outputs written, validation passed,
+  marker written).
+
+## 4. Streaming discipline - the corpus never fits in memory by design
+
+The generated corpus is ~150 MB and its scaled-up target is 600 GB; code
+must behave as if the data never fits in RAM:
+
+- **Write generated rows as you produce them**; never accumulate the full
+  cycle/loop dataset in a list (spec 03: "stream rows; never hold the
+  full cycle dataset in memory").
+- **Read CSV/JSON with iterators** (`csv.reader` row-by-row, `ijson`
+  events); never `read()` a bulk file whole or `json.load` the full
+  corpus.
+- Batch database work (`executemany` / `COPY` in chunks), keeping only
+  the current batch in memory.
+- Bounded aggregation state is fine (per-track summaries, counters);
+  unbounded accumulation of raw rows is the thing being forbidden.
+
+## 5. Anti-patterns
+
+- **Spaces for indentation** in Python files - the project standard is
+  tabs.
+- **An unlisted third-party import** - extend the section 2 table first
+  or use the stdlib.
+- **`pd.read_csv` in pipeline code** - pandas exists only as the
+  separately-measured Q-variant in spec 08.
+- **Loading a bulk artifact whole** (`json.load` on the full corpus,
+  `readlines()` on a cycles CSV) - stream it.
+- **A task importable only from a specific CWD** - resolve paths from a
+  repo-root anchor, not the current directory.
+- **Two tasks sharing mutable module state** - tasks communicate through
+  `./out/` artifacts only (see
+  [build-pipeline-tasks.md](build-pipeline-tasks.md)).