Files
beanflows/src/materia/pipelines.py
Deeman 0a83b2cb74 Add CFTC COT data integration with foundation data model layer
- New extraction package (cftc_cot): downloads yearly Disaggregated Futures ZIPs
  from CFTC, etag-based dedup, dynamic inner filename discovery, gzip normalization
- SQLMesh 3-layer architecture: raw (technical) → foundation (business model) → serving (mart)
- dim_commodity seed: conformed dimension mapping USDA ↔ CFTC codes — the commodity ontology
- fct_cot_positioning: typed, deduplicated weekly positioning facts for all commodities
- obt_cot_positioning: Coffee C mart with COT Index (26w/52w), WoW delta, OI ratios
- Analytics functions + REST API endpoints: /commodities/<code>/positioning[/latest]
- Dashboard widget: Managed Money net, COT Index card, dual-axis Chart.js chart
- 23 passing tests (10 unit + 2 SQLMesh model + existing regression suite)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 23:28:10 +01:00

61 lines
1.7 KiB
Python

"""Pipeline execution via local subprocess."""
import subprocess
from dataclasses import dataclass
@dataclass
class PipelineResult:
success: bool
output: str
error: str | None = None
PIPELINES = {
"extract": {
"command": ["uv", "run", "--package", "psdonline", "extract_psd"],
"timeout_seconds": 1800,
},
"extract_cot": {
"command": ["uv", "run", "--package", "cftc_cot", "extract_cot"],
"timeout_seconds": 1800,
},
"transform": {
"command": ["uv", "run", "--package", "sqlmesh_materia", "sqlmesh", "-p", "transform/sqlmesh_materia", "plan", "prod", "--no-prompts", "--auto-apply"],
"timeout_seconds": 3600,
},
}
def run_pipeline(pipeline_name: str) -> PipelineResult:
assert pipeline_name, "pipeline_name must not be empty"
if pipeline_name not in PIPELINES:
return PipelineResult(
success=False,
output="",
error=f"Unknown pipeline: {pipeline_name}. Available: {', '.join(PIPELINES.keys())}",
)
pipeline = PIPELINES[pipeline_name]
timeout_seconds = pipeline["timeout_seconds"]
try:
result = subprocess.run(
pipeline["command"],
capture_output=True,
text=True,
timeout=timeout_seconds,
)
return PipelineResult(
success=result.returncode == 0,
output=result.stdout,
error=result.stderr if result.returncode != 0 else None,
)
except subprocess.TimeoutExpired:
return PipelineResult(
success=False,
output="",
error=f"Pipeline '{pipeline_name}' timed out after {timeout_seconds} seconds",
)