1C OData MVP Bridge

Read-only MVP bridge between 1C and AI assistant workflows:

1. OData probe (odata_probe/)
2. Canonical model and mappers (canonical_layer/)
3. FastAPI layer (canonical_layer/app.py)
4. Draft MCP configuration (mcp/)

Quick start

cd X:\1C\NDC_1C
$Conda = Join-Path $env:USERPROFILE "miniconda3\Scripts\conda.exe"
if (-not (Test-Path $Conda)) { $Conda = Join-Path $env:USERPROFILE "Miniconda3\Scripts\conda.exe" }
& $Conda create -y -n ndc_1c_mvp python=3.11
$EnvPython = Join-Path $env:USERPROFILE "miniconda3\envs\ndc_1c_mvp\python.exe"
if (-not (Test-Path $EnvPython)) { $EnvPython = Join-Path $env:USERPROFILE "Miniconda3\envs\ndc_1c_mvp\python.exe" }
& $EnvPython -m pip install -r requirements.txt
copy .env.example .env

Run probe:

& $EnvPython -m odata_probe.fetch_metadata
& $EnvPython -m odata_probe.list_entity_sets
& $EnvPython -m odata_probe.probe_entities
& $EnvPython -m odata_probe.dump_sample_links
& $EnvPython scripts/deep_probe_subconto_join.py
& $EnvPython scripts/deep_probe_subconto.py
& $EnvPython scripts/recon_slot3_gap.py
& $EnvPython scripts/deep_probe_accounting_mvp_gate.py
& $EnvPython scripts/check_deeper_access_readiness.py

deep_probe_subconto_join.py is the regression check for the critical join: Document lines (Ref_Key + LineNumber) <-> Accounting register (Recorder + LineNumber). deep_probe_accounting_mvp_gate.py runs 3 hard MVP checks and writes a pass/fail verdict. recon_slot3_gap.py focuses on slot 3 evidence quality and writes logs/slot3_recon_report.json. check_deeper_access_readiness.py writes logs/deeper_access_readiness.json with one snapshot of gate/slot3/tool-artifact readiness. scripts/run_probe.ps1 fails intentionally when the MVP gate verdict is not sufficient.

Run FoxyLink endpoint smoke probe:

& $EnvPython scripts/foxylink_probe_endpoint.py
& $EnvPython scripts/foxylink_probe_endpoint.py --strict

or:

powershell -ExecutionPolicy Bypass -File .\scripts\run_foxylink_probe.ps1

foxylink_probe_endpoint.py writes logs/foxylink_probe_report.json with URL, status, classification (reachable, auth_failed, endpoint_not_found_or_not_published, etc.), and response preview.

One-command run:

powershell -ExecutionPolicy Bypass -File .\scripts\run_probe.ps1

Run API:

& $EnvPython -m uvicorn canonical_layer.app:app --reload --host 127.0.0.1 --port 8000

Run canonical refresh (Layer 3 + Layer 4 MVP):

& $EnvPython scripts/run_refresh.py --mode historical --limit-per-set 200
& $EnvPython scripts/run_refresh.py --mode incremental --from-date 2026-01-01T00:00:00 --limit-per-set 200
& $EnvPython scripts/run_refresh.py --mode targeted --target-id 68.02 --limit-per-set 200

or one-command PowerShell wrapper:

powershell -ExecutionPolicy Bypass -File .\scripts\run_refresh.ps1 -Mode incremental -FromDate 2026-01-01T00:00:00

Refresh summary is written to logs/refresh_last_run.json. Canonical store defaults to local sqlite: CANONICAL_DB_URL=sqlite:///X:/1C/NDC_1C/data/canonical_store.db and can be switched to PostgreSQL with a standard SQLAlchemy URL.

Run feature/anomaly engine (Layer 5 MVP):

& $EnvPython scripts/run_features.py --top-account-tokens 20
& $EnvPython scripts/run_features.py --strict

PowerShell wrapper:

powershell -ExecutionPolicy Bypass -File .\scripts\run_features.ps1 -Strict

Feature summary is written to logs/features_last_run.json. API endpoints for the new layer:

• POST /features/run
• GET /features/stats
• GET /features/runs
• GET /features/metrics
• GET /features/anomalies

Run risk engine (Layer 6 MVP):

& $EnvPython scripts/run_risk.py --strict

PowerShell wrapper:

powershell -ExecutionPolicy Bypass -File .\scripts\run_risk.ps1 -Strict

Risk summary is written to logs/risk_last_run.json. API endpoints:

• POST /risk/run
• GET /risk/stats
• GET /risk/runs
• GET /risk/patterns

Find busiest pre-reporting period and export dense snapshot (for example for 2020):

& $EnvPython scripts/run_pre_report_snapshot.py --year 2020 --strict

PowerShell wrapper:

powershell -ExecutionPolicy Bypass -File .\scripts\run_pre_report_snapshot.ps1 -Year 2020 -Strict

Default scan range:

• start: 2020-01-01T00:00:00Z
• end (reporting deadline): 2021-03-31T23:59:59Z

Outputs:

• activity profile: logs/pre_report_activity_2020.json
• selected-period snapshot: logs/pre_report_snapshot_2020_<window>.json

Run semantic mapper v2 remap on an existing snapshot and compare before/after:

& $EnvPython scripts/remap_snapshot_semantic_v2.py

Outputs:

• remapped snapshot: logs/pre_report_snapshot_2020_2020-06_semantic_v2.json
• metrics delta: logs/pre_report_snapshot_2020_2020-06_semantic_v2_metrics.json

Run validation on remapped snapshot:

& $EnvPython scripts/run_validation_accounting_analytics.py --snapshot-path logs/pre_report_snapshot_2020_2020-06_semantic_v2.json --output-dir docs/ARCH/validation_run_2026-03-23_semantic_v2 --strict

Refresh 2020 export package (ontology, rules, focused samples):

& $EnvPython scripts/export_arch_2020_package.py

Output directory:

• docs/ARCH/2020экспорт

Run router/orchestration fix benchmark profile:

& $EnvPython scripts/run_validation_accounting_analytics.py --snapshot-path logs/pre_report_snapshot_2020_2020-06_semantic_v2.json --output-dir docs/ARCH/validation_run_2026-03-23_router_fix --strict

Router fix report:

• docs/ARCH/router_orchestration_fix_report_2026-03-23.md

Important

This project is designed for read-only 1C access. Write operations in OData must remain disabled by 1C roles and by integration policy.