Metadata-Version: 2.4
Name: ledgercore
Version: 0.4.0
Summary: Generic ledger and storage primitives for Python projects
Project-URL: Homepage, https://github.com/ledgerwerk/ledgercore
Project-URL: Repository, https://github.com/ledgerwerk/ledgercore
Project-URL: Issues, https://github.com/ledgerwerk/ledgerwerk/issues
Project-URL: Changelog, https://github.com/ledgerwerk/ledgercore/blob/main/CHANGELOG.md
Author: holgern
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: frontmatter,ids,json,ledger,storage,yaml
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Typing :: Typed
Requires-Python: >=3.10
Requires-Dist: platformdirs
Requires-Dist: pyyaml
Provides-Extra: dev
Requires-Dist: coverage; extra == 'dev'
Requires-Dist: mypy; extra == 'dev'
Requires-Dist: pytest; extra == 'dev'
Requires-Dist: ruff; extra == 'dev'
Requires-Dist: types-pyyaml; extra == 'dev'
Provides-Extra: docs
Requires-Dist: myst-parser>=2.0.0; extra == 'docs'
Requires-Dist: sphinx; extra == 'docs'
Requires-Dist: sphinx-rtd-theme; extra == 'docs'
Provides-Extra: release
Requires-Dist: build; extra == 'release'
Requires-Dist: twine; extra == 'release'
Description-Content-Type: text/markdown

# ledgercore

Generic, typed storage, project-layout, and reference primitives for ledger-like Python applications.

`ledgercore` is a small Python library for projects that store structured records
as files. It provides reusable primitives for atomic writes, YAML front matter,
deterministic JSON/YAML storage, safe relative paths, Ledger-family project
layout discovery and resolution, numeric IDs, and cross-ledger references.

It has no CLI and no dependency on any downstream ledger application.

## Why ledgercore exists

Ledger-like tools (task trackers, architecture logs, spec registries) share the
same low-level problems: safely writing files, formatting IDs, validating paths,
and linking records across namespaces. `ledgercore` extracts those shared
primitives into one typed, zero-surprise package so downstream projects do not
reinvent them.

## What is included

- Atomic UTF-8 text writes and create-only writes.
- YAML front matter read/write helpers.
- Deterministic JSON, JSONL, and YAML file I/O.
- Safe relative POSIX path validation.
- Canonical Ledger-family project layout discovery and resolution.
- Generic content fingerprints and path-text normalization.
- Upward config discovery.
- Prefixed numeric ID formatting.
- Cross-ledger references such as `tl:task-0001`.
- A typed public API and shared exception hierarchy.

## What is not included

- No command-line interface.
- No database layer.
- No sync protocol.
- No task, architecture, or project-specific schema.
- No dependency on `taskledger`, `archledger`, or another product package.

## Installation

```bash
pip install ledgercore
```

Requirements:

- Python 3.10+
- PyYAML
- platformdirs

## Quick start

```python
from pathlib import Path

from ledgercore.frontmatter import write_front_matter_document
from ledgercore.ids import LedgerIdFormat
from ledgercore.refs import parse_resource_ref

task_ids = LedgerIdFormat(prefix="task")
task_id = task_ids.next(["task-0001", "task-0002"])

write_front_matter_document(
    Path(f"records/{task_id}.md"),
    {"id": task_id, "status": "open"},
    "# New task\n",
)

ref = parse_resource_ref("tl:task-0003")
assert ref.local_id == "task-0003"
assert ref.global_ref == "tl:task-0003"
```

## Cross-ledger references

Inside a single ledger, keep local IDs short:

```text
task-0001
adr-0002
```

When linking records across ledgers, use canonical global refs:

```text
<ledger>:<kind>-<number>
```

Examples:

```text
tl:task-0001
al:adr-0002
sw:spec-0003
```

A cross-ledger link can then store both endpoints unambiguously:

```yaml
source: tl:task-0001
target: al:adr-0002
relation: implements
```

For filenames or systems that cannot use `:`, use the file-safe alias:

```text
tl-task-0001
al-adr-0002
```

```python
from ledgercore.refs import parse_resource_ref

ref = parse_resource_ref("tl:task-0001")

assert ref.ledger == "tl"
assert ref.kind == "task"
assert ref.number == 1
assert ref.local_id == "task-0001"
assert ref.global_ref == "tl:task-0001"
assert ref.file_ref == "tl-task-0001"
```

## ID formatting

Use `LedgerIdFormat` as the primary ID formatter:

```python
from ledgercore.ids import LedgerIdFormat

ids = LedgerIdFormat(prefix="task")

assert ids.format(1) == "task-0001"
assert ids.parse("task-0007") == 7
assert ids.next(["task-0001", "task-0002"]) == "task-0003"
```

For segmented, legacy-compatible IDs:

```python
from ledgercore.ids import LedgerIdFormat

adr_ids = LedgerIdFormat(prefix="adr", separator="-", segment_separator="-")

assert adr_ids.format(13, segment="content") == "adr-content-0013"
```

`NumericIdFormat` remains available as a simpler compatibility wrapper.

## Front matter documents

```python
from pathlib import Path
from ledgercore.frontmatter import read_front_matter_document, write_front_matter_document

path = Path("records/task-0001.md")

write_front_matter_document(
    path,
    {"id": "task-0001", "status": "open"},
    "# Implement parser\n",
    body_mode="ensure-single-final-newline",
)

metadata, body = read_front_matter_document(path)
```

Front matter documents must start with `---` followed by a newline and contain a
YAML mapping. The body follows the closing `---` delimiter.

For in-memory content, use `split_front_matter_text`,
`render_front_matter_text`, and `update_front_matter_text`. Permissive parsing,
timestamp-as-string loading, template placeholders, key ordering, and body
normalization are explicit options.

Use `scalar_style="minimal"` for deterministic simple front matter:

```python
from ledgercore.frontmatter import render_front_matter_text

text = render_front_matter_text(
    {"title": "Example", "tags": ["one", "two"], "empty": ""},
    scalar_style="minimal",
    sequence_indent="  ",
    empty_string_style="double",
)
```

The default remains PyYAML-compatible. Render options also pass through update
and file-writing helpers. Template parsing supports whole-value placeholders
and a conservative `"anywhere"` mode for simple scalar values.

## JSON and YAML stores

```python
from pathlib import Path
from ledgercore.jsonio import dumps_json, load_json_object, write_json
from ledgercore.yamlio import load_yaml_object, write_yaml

state_path = Path("state.json")
write_json(state_path, {"next": 4})
state = load_json_object(state_path, missing="empty")
compact = dumps_json(state, compact=True)
```

JSON output uses indent 2, sorted keys, and a final newline. YAML uses block
style and can sort keys when requested.

`canonical_json` produces compact deterministic JSON for hashing.
`load_jsonl_object_rows` retains source lines. `load_jsonl_object_map` builds a
keyed manifest while reporting missing, invalid, and duplicate keys.
`write_jsonl_objects` writes one compact object per line atomically.

Timestamp output supports precision and suffix control:

```python
from ledgercore.time import utc_now_iso

timestamp = utc_now_iso(timespec="microseconds", timezone_style="offset")
```

## Safe paths and config discovery

```python
from pathlib import Path
from ledgercore.config import locate_ledger_config
from ledgercore.paths import resolve_config_relative_path

locator = locate_ledger_config(Path.cwd())
if locator is not None:
    records_dir = resolve_config_relative_path(
        locator.config_path,
        "records",
        field_name="records_dir",
    )
```

`locate_ledger_config` prefers `.ledger.toml`, then `ledger.toml`, and returns
a `ConfigLocator` with `workspace_root`, `config_path`, and `source` fields.
Path helpers reject absolute paths, `..`, `.` segments, backslashes, and paths
escaping the base directory.

Use `ensure_inside_base`, `relative_to_base`, and `resolve_under_base` when
converting between resolved paths and safe base-relative paths. The separate
`normalize_path_text` helper is for matching human-authored path text; it does
not authorize filesystem access. It supports `"basic"`, `"wide"`, and
`"none"` punctuation profiles plus custom translations.

## Ledger project layout

`ledgercore` 0.4.0 provides the canonical Ledger-family project layout plus one
fixed built-in `sibling-ledger` workspace provider. `ledgercore` parses mappings
only: downstream tools remain responsible for TOML loading, marker initialization,
migration workflows, and any CLI behavior. Tool configuration remains project-local
at `.ledger/task/config.toml`; the selected external data root is machine-local.

```python
from pathlib import Path

from ledgercore import (
    locate_ledger_project,
    parse_ledger_project_manifest,
    resolve_ledger_layout,
)
from ledgercore.layout import PlatformRoots

locator = locate_ledger_project(Path.cwd())
if locator is not None and not locator.is_legacy:
    manifest = parse_ledger_project_manifest(
        {
            "schema_version": 2,
            "project": {"uuid": "565c0312-b531-4d07-aa1f-32c796f58dae"},
            "ledgers": {
                "taskledger": {
                    "config": {"location": "project", "path": "task/config.toml"},
                    "mounts": {
                        "data": {
                            "storage": "workspace",
                            "scope": "project",
                            "path": "task/taskledger",
                        },
                        "records": {"storage": "repository", "path": "task/records"},
                    },
                }
            },
        }
    )
    layout = resolve_ledger_layout(
        locator,
        manifest,
        "taskledger",
        platform_roots=PlatformRoots(
            user_data=Path("/tmp/ledger-data"),
            user_cache=Path("/tmp/ledger-cache"),
        ),
    )
    data_dir = layout.mounts["data"].path
    records_dir = layout.mounts["records"].path
```

Repository mounts resolve beneath `.ledger/`. Normal workspace and cache roots use
`projects/<project-uuid>/project` or
`projects/<project-uuid>/checkouts/<checkout-id>` depending on scope. To select the
flat sibling convention, create `.ledger/ledger.local.toml` with:

```toml
[storage.workspace]
provider = "sibling-ledger"
```

The provider resolves `<project-root>/../ledger` and requires the regular marker
`../ledger/.ledger-store`. With the project mount above, the effective Taskledger
data path is `../ledger/task/taskledger`. The selected root must already exist,
missing storage is fatal, no fallback occurs, and `ledgercore` does not invoke Git.
A separately version-controlled workspace is supported. Taskledger owns project
binding, authoritative ID allocation, migration, and synchronization.

On another computer, clone or otherwise provision the external store as the sibling
`../ledger`, ensure `.ledger-store` is a regular file, then use the same local provider
selection. Ledgercore validates the selected root but does not perform Git operations.
Taskledger must bind the direct mount to the project before use and derive the next
numeric task ID from validated active, archived, and tombstone records. It must not
persist a redundant next-task counter. Disconnected computers can choose the same
numeric ID, so pull before creating tasks, commit and push promptly, and resolve Git
conflicts explicitly.

## Shared ledger config convention

Ledgercore-based tools may still use the schema-version-1 shared config
convention as a compatibility surface. In that mode, shared project metadata
belongs under `[project]`; tool-specific configuration belongs under
`[tools.<tool-name>]` in `.ledger.toml` or `ledger.toml`.

```toml
schema_version = 1

[project]
uuid = "565c0312-b531-4d07-aa1f-32c796f58dae"
name = "example"

[tools.example]
config_version = 1
state_dir = ".example"
```

Ledgercore standardizes discovery and generic table selection; it does not
parse TOML or define downstream schemas. Applications remain responsible for
parsing the selected file and may pass legacy names as fallbacks:

```python
from ledgercore.config import (
    locate_ledger_config,
    select_project_config,
    select_tool_config,
)

locator = locate_ledger_config(
    Path.cwd(),
    legacy_filenames=(".example.toml", "example.toml"),
)
```

Canonical shared-config files win over legacy fallbacks. Applications should not
implicitly merge both live configs. For the newer layout API, prefer
`locate_ledger_project` and `.ledger/ledger.toml`.

## Atomic writes

```python
from pathlib import Path
from ledgercore.atomic import atomic_create_text, atomic_write_text

atomic_create_text(Path("records/task-0001.md"), "---\nid: task-0001\n---\n")
atomic_write_text(Path("index.json"), "{}\n")
```

- `atomic_create_text`: create only; fails if target exists.
- `atomic_write_text`: replace target atomically via temp file and `os.replace`.

## Error model

All package-specific errors inherit from `LedgerCoreError`.

```python
from ledgercore.errors import (
    LedgerCoreError, LedgerConfigError, StorageError, AtomicWriteError,
    FrontMatterError, JsonStoreError, YamlStoreError,
    PathValidationError, IdFormatError,
)

try:
    ...
except LedgerCoreError as exc:
    print(exc.code, str(exc))
```

Each exception carries a stable `code` attribute for programmatic handling.

## Using ledgercore from a CLI application

`ledgercore` does not depend on a CLI framework. Adapt its errors at the
application boundary:

```python
from ledgercore.errors import LedgerCoreError

def to_usage_error(exc: LedgerCoreError) -> UsageError:
    return UsageError(str(exc))

try:
    load_application_state()
except LedgerCoreError as exc:
    raise to_usage_error(exc) from exc
```

This keeps exit codes, terminal formatting, and framework-specific exception
types in the downstream application.

## Type checking

`ledgercore` ships a `py.typed` marker. It is fully typed and passes strict
mypy with `strict = true`.

## Development

```bash
python -m pip install -e ".[dev,docs]"
python -m pytest -q
python -m ruff check .
python -m mypy ledgercore
python -m sphinx -W -b html docs docs/_build/html
```

## Release checklist

Versions are derived from VCS tags; there is no static version in
`pyproject.toml` to update.

1. Update `CHANGELOG.md` and create or sign the target tag, such as `v0.4.0`.
2. Run the test, coverage, lint, formatting, typing, example, and docs gates in
   [`docs/release.md`](docs/release.md).
3. Run `python -m build` and `python -m twine check dist/*`.
4. Verify the wheel and sdist contain `LICENSE` and generated `_version.py`.
5. Smoke-test the built wheel in a clean virtualenv.

For a supported non-git source archive, provide the intended version:

```bash
SETUPTOOLS_SCM_PRETEND_VERSION=X.Y.Z python -m build
```

## Stability

`ledgercore` is pre-1.0. Patch releases preserve the current minor API where
practical. Minor releases may intentionally evolve public APIs before 1.0,
with changelog and migration guidance. The 0.4.0 release adds the fixed
sibling-ledger workspace convention while preserving namespaced root overrides.

## License

Apache-2.0.
