TenderIQ / core /fallback.py
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Step 6: criteria extractor, audit, fallback, and Tab 2 wiring
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import json
from core.config import PRECOMPUTED_DIR
from core.schemas import Criterion, Verdict
_HARDCODED_CRITERIA = [
{
"id": "C1", "title": "Minimum Annual Turnover",
"category": "financial", "mandatory": True,
"description": "The bidder shall have a minimum average annual turnover of INR 5 Crore during the last three financial years (2022-23, 2023-24, 2024-25).",
"rule": {"type": "numeric_threshold", "field": "annual_turnover_inr",
"operator": ">=", "value": 50000000, "unit": "INR"},
"query_hints": ["annual turnover", "total revenue", "INR crore", "audited financials", "CA certificate"],
"source_page": 2, "source_clause": "3.2(a)",
},
{
"id": "C2", "title": "Completed Construction Projects",
"category": "technical", "mandatory": True,
"description": "The bidder must have successfully completed at least three (3) similar construction projects of value not less than INR 1 Crore each in the last five financial years.",
"rule": {"type": "count_threshold", "field": "completed_projects",
"operator": ">=", "value": 3, "unit": None},
"query_hints": ["completed projects", "construction experience", "work order", "completion certificate", "similar projects"],
"source_page": 2, "source_clause": "3.2(b)",
},
{
"id": "C3", "title": "GST Registration",
"category": "compliance", "mandatory": True,
"description": "The bidder shall possess a valid Goods and Services Tax (GST) registration certificate. The GSTIN must be active as on the date of submission.",
"rule": {"type": "certification_present", "field": "gstin",
"operator": "exists", "value": None, "unit": None},
"query_hints": ["GSTIN", "GST certificate", "GST registration", "tax registration"],
"source_page": 2, "source_clause": "3.2(c)",
},
{
"id": "C4", "title": "ISO 9001:2015 Certification",
"category": "compliance", "mandatory": True,
"description": "The bidder shall hold a valid ISO 9001:2015 Quality Management System certification issued by an accredited certification body.",
"rule": {"type": "certification_present", "field": "iso_9001",
"operator": "exists", "value": None, "unit": None},
"query_hints": ["ISO 9001", "quality management", "ISO certificate", "QMS certification"],
"source_page": 2, "source_clause": "3.2(d)",
},
{
"id": "C5", "title": "Paramilitary Infrastructure Experience",
"category": "technical", "mandatory": False,
"description": "Preferably, the bidder may have prior experience with construction or maintenance of paramilitary or defence infrastructure.",
"rule": {"type": "document_present", "field": "paramilitary_experience",
"operator": "exists", "value": None, "unit": None},
"query_hints": ["paramilitary", "defence infrastructure", "CRPF", "BSF", "security forces"],
"source_page": 2, "source_clause": "3.2(e)",
},
]
def load_criteria() -> list[Criterion]:
criteria_file = PRECOMPUTED_DIR / "criteria.json"
if criteria_file.exists():
data = json.loads(criteria_file.read_text(encoding="utf-8"))
return [Criterion(**c) for c in data.get("criteria", data)]
return [Criterion(**c) for c in _HARDCODED_CRITERIA]
def load_evaluation(bidder_id: str, criterion_id: str) -> Verdict:
eval_file = PRECOMPUTED_DIR / f"eval_{bidder_id}.json"
if eval_file.exists():
data = json.loads(eval_file.read_text(encoding="utf-8"))
verdicts = data if isinstance(data, list) else data.get("verdicts", [])
for v in verdicts:
if v.get("criterion_id") == criterion_id:
return Verdict(**v)
# Return a needs_review verdict as safe default
from core.config import MODEL_VERSION
from datetime import datetime, timezone
return Verdict(
bidder_id=bidder_id,
criterion_id=criterion_id,
verdict="needs_review",
reason="Pre-computed evaluation not available. Manual review required.",
model_version=MODEL_VERSION,
timestamp=datetime.now(timezone.utc).isoformat(),
combined_confidence=0.0,
)