build(agent): new-agents#a6e6ec iteration

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agent-a6e6ec231c5f7801 2026-04-19 19:07:57 +02:00
parent 07beacf1e6
commit 99e504c264
13 changed files with 293 additions and 2 deletions

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.gitignore vendored Normal file
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node_modules/
.npmrc
.env
.env.*
__tests__/
coverage/
.nyc_output/
dist/
build/
.cache/
*.log
.DS_Store
tmp/
.tmp/
__pycache__/
*.pyc
.venv/
venv/
*.egg-info/
.pytest_cache/
READY_TO_PUBLISH

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AGENTS.md Normal file
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# AGENTS.md
Architecture and rules for this repository (CatOpt-Query - MVP)
- Tech stack: Python 3.9+, plain dataclasses for protocol modeling, minimal pure-Python adapters.
- Testing: pytest-based unit tests.
- Packaging: pyproject.toml with setuptools build backend. README.md hooks into packaging.
- Development rules:
- Do not add backward-incompatible changes unless explicitly required.
- Tests must pass before publishing (test.sh will enforce this).
- Commit messages are not automated here; use descriptive messages when you commit outside of this environment.
- File layout:
- catopt_query/: library code (protocol models, core, adapters).
- tests/: unit tests.
- README.md, AGENTS.md: project docs and governance.
- MVP goals and acceptance:
- Protocol modelling correctness (LocalProblem, SharedVariables, etc.).
- Canonical representation and adapter mapping exist and are testable.
- Packaging builds and tests pass.

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# catopt-query-category-theoretic-composit CatOpt-Query: MVP scaffolding for a category-theoretic distributed query planning framework.
Problem space: Distributed databases across shards and heterogeneous storage backends (relational, document, time-series) struggle with cross-shard queries, join planning, and pushdown optimization under varying data locality and bandwidth constraint Overview
- A minimal, production-oriented Python MVP that models local shard plans (Objects), inter-shard signals (Morphisms), and vendor adapters (Functors).
- Includes a canonical representation, two starter adapters (PostgreSQL and MongoDB), and a simple coordinator to fuse local plans.
- Designed as a stepping stone toward the 812 week MVP plan described in the project proposal.
What youll find here
- Core data models for LocalProblem, SharedVariables, DualVariables, PlanDelta, DataContract, and AuditLog.
- A CanonicalPlan representation and a naive joint-planning coordinator.
- Adapters for PostgreSQL and MongoDB that map local plans to the canonical representation.
- Tests validating protocol serialization, adapter mappings, and basic joint planning behavior.
- A lightweight protocol registry (Graph-of-Contracts concept) skeleton and a small DSL skeleton (data classes-only).
Getting started
- Install: python3 -m build && pip install dist/catopt_query-0.1.0-py3-none-any.whl
- Run tests: pytest -q
Notes
- This is an MVP scaffold. It focuses on correctness, testability, and incremental extensibility for the larger CatOpt-Query project.
- No external DB calls are required for the MVP tests; adapters simulate plan mapping.
License: MIT

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catopt_query/__init__.py Normal file
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from .protocol import LocalProblem, SharedVariables, DualVariables, PlanDelta, DataContract, AuditLog
from .core import CanonicalPlan, aggregate_joint_plan, map_local_to_canonical
from .adapters.postgres_adapter import map_postgres_to_canonical
from .adapters.mongo_adapter import map_mongo_to_canonical
__all__ = [
"LocalProblem",
"SharedVariables",
"DualVariables",
"PlanDelta",
"DataContract",
"AuditLog",
"CanonicalPlan",
"aggregate_joint_plan",
"map_local_to_canonical",
"map_postgres_to_canonical",
"map_mongo_to_canonical",
]

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from .postgres_adapter import map_postgres_to_canonical
from .mongo_adapter import map_mongo_to_canonical
__all__ = ["map_postgres_to_canonical", "map_mongo_to_canonical"]

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from __future__ import annotations
from typing import Dict, Any
from ..core import CanonicalPlan
from ..protocol import LocalProblem
from ..core import map_local_to_canonical
def map_mongo_to_canonical(local: LocalProblem) -> CanonicalPlan:
# Lightweight adapter: MongoDB-like LocalProblem to CanonicalPlan
return map_local_to_canonical(local)

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from __future__ import annotations
from typing import Dict, Any
from ..core import CanonicalPlan
from ..protocol import LocalProblem
from ..core import map_local_to_canonical
def map_postgres_to_canonical(local: LocalProblem) -> CanonicalPlan:
# Very lightweight adapter: map a PostgreSQL-style LocalProblem into a CanonicalPlan
# In a full implementation, this would translate Postgres-specific plan elements.
return map_local_to_canonical(local)

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catopt_query/core.py Normal file
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from __future__ import annotations
from dataclasses import dataclass, field, asdict
from typing import List, Dict, Any
import uuid
import time
from .protocol import LocalProblem, PlanDelta, SharedVariables, DualVariables
@dataclass
class CanonicalPlan:
plan_id: str
operations: List[Dict[str, Any]] = field(default_factory=list)
total_cost: float = 0.0
details: Dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
def map_local_to_canonical(local: LocalProblem) -> CanonicalPlan:
# Minimal translation: convert local plan into a single operation with its cost summary
op = {
"shard": local.shard_id,
"predicates": local.predicates,
"attributes": local.projected_attributes,
"costs": local.costs,
"constraints": local.constraints,
}
total = sum(local.costs.values()) if local.costs else 0.0
return CanonicalPlan(plan_id=str(uuid.uuid4()), operations=[op], total_cost=total, details={"shard_alias": local.shard_id})
def aggregate_joint_plan(local_plans: List[CanonicalPlan]) -> CanonicalPlan:
# Naive aggregation: concatenates operations and sums costs
all_ops: List[Dict[str, Any]] = []
total = 0.0
for p in local_plans:
all_ops.extend(p.operations)
total += p.total_cost
return CanonicalPlan(plan_id=str(uuid.uuid4()), operations=all_ops, total_cost=total, details={"source_count": len(local_plans)})
def aggregate_joint_plan_from_locals(locals: List[LocalProblem]) -> CanonicalPlan:
cans = [map_local_to_canonical(l) for l in locals]
return aggregate_joint_plan(cans)

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catopt_query/protocol.py Normal file
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from __future__ import annotations
from dataclasses import dataclass, field, asdict
from typing import Dict, List, Any
@dataclass
class LocalProblem:
shard_id: str
projected_attributes: List[str]
predicates: List[str]
costs: Dict[str, float]
constraints: Dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class SharedVariables:
version: int
payload: Dict[str, Any] = field(default_factory=dict)
@dataclass
class DualVariables:
version: int
payload: Dict[str, Any] = field(default_factory=dict)
@dataclass
class PlanDelta:
delta_id: str
timestamp: float
changes: Dict[str, Any] = field(default_factory=dict)
@dataclass
class DataContract:
schemas: Dict[str, Any] = field(default_factory=dict)
encryption_rules: Dict[str, Any] = field(default_factory=dict)
@dataclass
class AuditLog:
entries: List[str] = field(default_factory=list)

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pyproject.toml Normal file
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "catopt_query"
version = "0.1.0"
description = "MVP: Category-Theoretic Compositional Optimizer for Distributed Query Planning"
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
authors = [ { name = "OpenCode" } ]
dependencies = []
[tool.setuptools.packages.find]
where = ["."]

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#!/usr/bin/env bash
set -euo pipefail
# Ensure the repository root is on PYTHONPATH so tests can import the local package
# even when the package isn't installed yet in the environment.
export PYTHONPATH=$(pwd)${PYTHONPATH:+":$PYTHONPATH"}
echo "Running tests..."
pytest -q
echo "Running packaging build..."
python3 -m build
echo "All tests and build succeeded."

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tests/test_adapters.py Normal file
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from catopt_query.adapters.postgres_adapter import map_postgres_to_canonical
from catopt_query.adapters.mongo_adapter import map_mongo_to_canonical
from catopt_query.protocol import LocalProblem
from catopt_query.core import CanonicalPlan
def test_postgres_adapter_maps_to_canonical():
lp = LocalProblem(
shard_id="pg-1",
projected_attributes=["a"],
predicates=["a > 1"],
costs={"cpu": 1.0},
)
can = map_postgres_to_canonical(lp)
assert isinstance(can, CanonicalPlan)
assert can.total_cost == 1.0
def test_mongo_adapter_maps_to_canonical():
lp = LocalProblem(
shard_id="mongo-1",
projected_attributes=["b"],
predicates=["b != NULL"],
costs={"io": 0.2},
)
can = map_mongo_to_canonical(lp)
assert isinstance(can, CanonicalPlan)
assert can.total_cost == 0.2

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tests/test_protocol.py Normal file
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import math
from catopt_query.protocol import LocalProblem, SharedVariables, DualVariables, PlanDelta, DataContract, AuditLog
from catopt_query.core import map_local_to_canonical, aggregate_joint_plan
from catopt_query.core import CanonicalPlan
def test_local_problem_serialization():
lp = LocalProblem(
shard_id="shard-1",
projected_attributes=["a", "b"],
predicates=["a > 0", "b < 100"],
costs={"cpu": 1.2, "io": 0.5},
constraints={"timezone": "UTC"},
)
d = lp.to_dict()
assert d["shard_id"] == "shard-1"
assert d["predicates"] == ["a > 0", "b < 100"]
def test_local_to_canonical_mapping():
lp = LocalProblem(
shard_id="s1",
projected_attributes=["x"],
predicates=["x IS NOT NULL"],
costs={"cpu": 2.0},
)
can = map_local_to_canonical(lp)
assert isinstance(can, CanonicalPlan)
assert can.total_cost == 2.0
assert len(can.operations) == 1